A method and apparatus for displaying information

Abstract

A display method and device of information for improving driving safety of a vehicle, comprising: a vehicle system (10) collecting surrounding environment information of the vehicle, the surrounding environment information being used to indicate driving states of one or more vehicles around the current driving vehicle (201); the vehicle system (10) generating vehicle emotion information based on the surrounding environment information, the vehicle emotion information being used to indicate one or more of the following of the one or more vehicles around the vehicle: driving emotion and emotion diffusion situation, the emotion diffusion situation including one or more of the following: emotion diffusion speed, emotion diffusion direction and emotion diffusion range (202); and the vehicle system (10) marking the vehicle emotion information on a display interface of the vehicle (203).

Description

Method and apparatus for displaying information TECHNICAL FIELD

[0001] Embodiments of the present application relate to the technical field of automobiles, and in particular, to a method and apparatus for displaying information. BACKGROUND

[0002] With the continuous breakthroughs in new-generation electronic and electrical architectures, automotive operating systems, and computing chips, and other key technologies, the perception, decision-making, and control capabilities of intelligent driving systems have been significantly improved. For example, in some intelligent driving scenarios, the intelligent driving system of a vehicle can perceive the emotions of a driver and make driving recommendations or driving controls based on the perceived emotions.

[0003] In current emotion-based intelligent driving solutions, a vehicle can only detect the emotional state of the driver of the vehicle based on the camera inside the vehicle. However, because there are many road users, the emotions and behaviors of other road users can also affect the driving safety of the vehicle. For example, when there is a vehicle jam on the road, because the driving habits of different vehicles are different, it is easy to cause friction and generate intense driving emotions and behaviors, such as frantic honking, flashing lights, and cutting in. At the same time, once intense driving emotions are generated, it is difficult to communicate and resolve in a timely manner, and instead, it is easy to spread to other vehicles, and the spread of driving emotions can cause large-scale group phenomena on the road.

[0004] Therefore, because the vehicle in the current emotion-based intelligent driving solution can only detect the emotional state of the driver of the vehicle, the vehicle cannot perceive the emotions of the drivers of external vehicles, and once intense driving emotions are generated by external vehicles, it can affect the driving safety of the vehicle.

[0005] SUMMARY

[0006] Embodiments of the present application provide a method for displaying information, in which a current driving vehicle can detect and analyze the vehicle emotions of surrounding driving vehicles and display the vehicle emotions of the surrounding driving vehicles on the display interface of the current driving vehicle, thereby improving the driving safety of the current driving vehicle. Embodiments of the present application also provide a corresponding information display apparatus, a vehicle-mounted device, a vehicle, a computer-readable storage medium, and a computer program product for displaying information.

[0007] In a first aspect, an embodiment of the present application provides a display method of information, which can be executed by a vehicle system, or by a component of the vehicle system, such as a processor, a chip or a chip system of the vehicle system, or by a logic module or software capable of realizing all or part of the functions of the vehicle system. The method provided in the first aspect comprises: collecting, by the vehicle system, surrounding environment information of a currently traveling vehicle, the surrounding environment information being used to indicate a driving state of one or more vehicles around the currently traveling vehicle; generating, by the vehicle system, vehicle emotion information based on the surrounding environment information, the vehicle emotion information being used to indicate one or more of the following of the one or more vehicles around the currently traveling vehicle: driving emotion and emotion diffusion situation, wherein the driving emotion comprises different emotion types and different emotion levels, the emotion types are, for example, anger, and the emotion levels are, for example, mild, moderate and high, and the emotion diffusion situation comprises one or more of the following: emotion diffusion speed, emotion diffusion direction and emotion diffusion range; and displaying, by the vehicle system, a mark of the vehicle emotion information on a display interface of the currently traveling vehicle.

[0008] In the embodiment of the present application, the vehicle system can collect the surrounding environment information collected by the currently traveling vehicle, analyze the driving emotion of the surrounding vehicles and the diffusion phenomenon of the driving emotion among the vehicles, and mark the vehicle emotion information on the display interface of the currently traveling vehicle, so as to prompt the currently traveling vehicle to pay attention to the driving emotion of the surrounding vehicles and improve the driving safety of the vehicle.

[0009] In a possible implementation, the marking of the vehicle emotion information on the display interface of the currently traveling vehicle by the vehicle system comprises one or more of the following: marking a vehicle model based on the vehicle emotion information on a vehicle modeling diagram of the currently traveling vehicle, marking a real driving scene based on the vehicle emotion information on a heads-up display (HUD) of the currently traveling vehicle, and marking a driving picture based on the vehicle emotion information on a real-time video stream of the currently traveling vehicle. The vehicle modeling diagram and the real-time video stream can be displayed on any display screen of the currently traveling vehicle, such as an instrument screen, a central control screen, a rear screen and a streaming media rearview mirror screen.

[0010] In the embodiment of the present application, the vehicle system can display the driving emotion of the surrounding vehicles and the emotion diffusion situation through various display modes, so that the driver of the currently traveling vehicle can perceive the vehicle emotion and the emotion diffusion situation of the surrounding vehicles through various modes, and the driving safety of the currently traveling vehicle is further improved.

[0011] In a possible implementation, the vehicle system determines a danger level of the current driving vehicle based on the vehicle emotion information, where the danger level indicates a probability of the current driving vehicle having a traffic accident. The vehicle system determines the danger level of the vehicle based on the emotion diffusion range. If a distance between the current driving vehicle and a boundary of the emotion diffusion range is less than a safety distance, the danger level of the current driving vehicle is high, and if the distance between the current driving vehicle and the boundary of the emotion diffusion range is greater than or equal to the safety distance, the danger level of the current driving vehicle is low. The vehicle system provides a driving prompt to a driver of the current driving vehicle based on the danger level, or controls the current driving vehicle based on the danger level.

[0012] In the embodiments of the present application, the vehicle system can further evaluate the danger level of the current driving vehicle based on the analyzed vehicle emotion information, and provide a driving prompt or vehicle control based on the danger level, thereby improving the driving safety of the current driving vehicle.

[0013] In a possible implementation, in the process of determining the danger level of the current driving vehicle based on the vehicle emotion information, the vehicle system determines that the current driving vehicle is dangerous when the vehicle emotion information satisfies a danger determination condition, and the danger determination condition includes one or more of the following: the emotion diffusion direction is close to the current driving vehicle, a distance between the emotion diffusion range and the current driving vehicle is less than a distance threshold, or an emotion diffusion speed is greater than a speed threshold. The vehicle system can set the distance threshold and the speed threshold.

[0014] In the embodiments of the present application, the vehicle system can set the threshold of the emotion diffusion direction, the emotion diffusion range, or the emotion diffusion speed, and determine the danger level of the current driving vehicle based on the relationship between the emotion diffusion direction, the emotion diffusion range, or the emotion diffusion speed and the threshold, thereby improving the accuracy and flexibility of the vehicle system in determining the danger level of the current driving vehicle.

[0015] In a possible implementation, after the vehicle system determines the danger level of the current driving vehicle based on the vehicle emotion information, if the current driving vehicle is in an artificial driving mode, the vehicle system provides a driving prompt according to the danger level, and the driving prompt includes a voice prompt and an image prompt.

[0016] The information display method provided in the embodiments of the present application can be applied to a human driving scenario, and the vehicle system can provide a driving prompt for a human driver based on the vehicle emotion information, thereby improving the driving safety of the driver driving the current driving vehicle.

[0017] In a possible implementation, when the driving prompt is an image prompt, the vehicle system displays a recommended lane on a display interface of the current driving vehicle based on the vehicle emotion information, and the recommended lane is used to avoid the vehicle with the road rage emotion. When the driving prompt is a voice prompt, the vehicle system can play a voice based on the vehicle emotion information on the current driving vehicle, prompting the driver of the current driving vehicle to pay attention to safety, or soothing the emotion of the driver of the current driving vehicle.

[0018] In the embodiments of the present application, the vehicle system can prompt the driver of the current driving vehicle to pay attention to or avoid the surrounding vehicles with driving emotions based on the image or voice, thereby improving the driving safety of the current driving vehicle.

[0019] In a possible implementation, after the vehicle system determines the danger level of the current driving vehicle based on the vehicle emotion information, if the current driving vehicle is in an automatic driving mode or an assisted driving mode, the vehicle system adjusts the driving state of the vehicle according to the danger level, and the adjustment of the driving state of the vehicle includes one or more of the following: adjusting the driving mode, increasing or decreasing the cruise speed, changing the lane, and adjusting the route planning. The adjustment of the driving mode includes adjusting the automatic driving level or prompting the driver to take over.

[0020] The information display method provided in the embodiments of the present application can also be applied to an automatic driving scenario, so that the automatic driving vehicle can control the vehicle state of the current driving vehicle based on the vehicle emotion information, thereby improving the driving safety of the current driving vehicle in the automatic driving scenario.

[0021] In a possible implementation, the surrounding environment information includes vehicle behavior information, and in the process of generating the vehicle emotion information based on the surrounding environment information, the vehicle system determines the driving emotion of one or more vehicles around the current driving vehicle based on the vehicle behavior information, and further determines the emotion level of the driving emotion according to the specific behavior content in the vehicle behavior information, for example, mild anger, moderate anger, and high anger. The vehicle behavior information includes road rage behavior, and the road rage behavior includes one or more of the following: honking, flashing lights, sudden acceleration or deceleration, and sudden lane changing.

[0022] In the embodiments of the present application, the vehicle system can determine the driving emotion of one or more vehicles around the current driving vehicle based on various vehicle behavior information, and can analyze the emotion level of the driving emotion based on various specific vehicle behaviors, thereby improving the accuracy of the vehicle system in analyzing the driving emotion.

[0023] In a possible implementation, the surrounding environment information further includes vehicle dynamic information, and in the process in which the vehicle system generates the vehicle emotion information based on the surrounding environment information, the vehicle system determines, according to the vehicle dynamic information, an emotion diffusion situation of one or more vehicles around the currently driving vehicle, the emotion diffusion situation including an emotion diffusion direction, an emotion diffusion speed, and an emotion diffusion range, and the vehicle dynamic information including one or more of the following: a vehicle position, a vehicle speed, and a vehicle acceleration / deceleration.

[0024] In the embodiments of the present application, the vehicle system can analyze the emotion diffusion direction, range, and speed of the surrounding vehicle with driving emotion based on various vehicle behavior information and vehicle dynamic information, thereby improving the accuracy of the vehicle system in analyzing the driving emotion diffusion situation.

[0025] In a possible implementation, in the process in which the vehicle system marks the vehicle emotion information on the display interface of the currently driving vehicle, the vehicle system marks the vehicle emotion on the display interface of the currently driving vehicle based on different emotion marking manners, and a set of the different emotion marking manners has a mapping relationship with an emotion set of the vehicle emotion. For example, in a set of different color marking manners, different colors correspond to different driving emotions. In a set of different shape marking manners, different shapes correspond to different driving emotions.

[0026] In the embodiments of the present application, the vehicle system can mark the vehicle emotion based on various different emotion marking manners, thereby improving the richness of the vehicle emotion marking on the display interface of the currently driving vehicle.

[0027] In a possible implementation, when the vehicle system detects that the driving emotion of the surrounding vehicle disappears, the vehicle system cancels the marking of the driving emotion of the vehicle on the display interface. Similarly, when the vehicle system detects that the driving emotion diffusion situation of the surrounding vehicle disappears, the vehicle system cancels the marking of the emotion diffusion situation on the display interface.

[0028] In the embodiments of the present application, when the vehicle system detects that the driving emotion information of the surrounding vehicle disappears, the vehicle system can cancel the marking of the driving emotion and the emotion diffusion situation on the display interface, thereby improving the accuracy of the marking of the driving emotion and the emotion diffusion situation of the vehicle on the display interface of the currently driving vehicle.

[0029] In a possible implementation, in the process in which the vehicle system marks the vehicle emotion information on the display interface of the currently driving vehicle, the vehicle system marks the emotion diffusion direction and the emotion diffusion range on the display interface of the currently driving vehicle based on the emotion diffusion situation. For example, the vehicle system marks the emotion diffusion range on the display interface of the currently driving vehicle based on a range boundary line, and the area within the range boundary line has the driving emotion.

[0030] The vehicle system in the embodiments of the present application can also mark the mood diffusion direction, range and speed of the surrounding vehicles in the display interface of the currently driving vehicle, thereby improving the realizability of marking the mood diffusion situation in the display interface of the currently driving vehicle.

[0031] In a possible implementation, when the mood diffusion direction indicates that the mood diffuses from the first vehicle to the second vehicle, the vehicle system marks the diffusion direction of the first vehicle pointing to the second vehicle in the display interface of the currently driving vehicle based on a direction marking symbol, for example, a direction arrow.

[0032] The vehicle system in the embodiments of the present application can mark the mood diffusion direction in the display interface of the currently driving vehicle based on a direction marking symbol, thereby improving the realizability of marking the mood diffusion direction.

[0033] In a possible implementation, the vehicle system can also merge multiple mood diffusion ranges. When the vehicle system detects that there is mutual influence between multiple mood diffusion ranges, the vehicle system can merge the multiple mood diffusion ranges into one mood diffusion range in the display interface.

[0034] The vehicle system in the embodiments of the present application can mark the vehicle mood based on multiple different mood marking modes, thereby improving the richness of marking the vehicle mood in the display interface of the currently driving vehicle.

[0035] In a second aspect, the embodiments of the present application provide a display device of information. The device includes a collection unit, a processing unit and a display unit. The collection unit is configured to collect surrounding environment information of a currently driving vehicle, the surrounding environment information being used to indicate the driving state of one or more vehicles around the currently driving vehicle. The processing unit is configured to generate vehicle mood information based on the surrounding environment information, the vehicle mood information being used to indicate one or more of the following contents of one or more vehicles around the currently driving vehicle: driving mood and mood diffusion situation, the mood diffusion situation including one or more of the following: mood diffusion speed, mood diffusion direction and mood diffusion range. The display unit is configured to display the marking of the vehicle mood information in the display interface of the currently driving vehicle.

[0036] In a possible implementation, the display unit is specifically configured to mark the vehicle mood information in the display interface of the currently driving vehicle, including one or more of the following: marking the vehicle model based on the vehicle mood information in the vehicle modeling diagram of the currently driving vehicle, marking the real driving scene based on the vehicle mood information in the head-up display (HUD) of the currently driving vehicle, and marking the driving picture based on the vehicle mood information in the real-time video stream of the currently driving vehicle.

[0037] In a possible implementation, the processing unit is further configured to determine a danger level of the current driving vehicle based on the vehicle emotion information, the danger level being used to indicate a probability of the current driving vehicle having a traffic accident.

[0038] In a possible implementation, the processing unit is specifically configured to determine that the current driving vehicle is dangerous when the vehicle emotion information satisfies a danger determination condition, the danger determination condition including one or more of the following: the emotion diffusion direction is close to the current driving vehicle, a distance between the emotion diffusion range and the current driving vehicle is less than a distance threshold, or an emotion diffusion speed is greater than a speed threshold.

[0039] In a possible implementation, the processing unit is further configured to provide a driving prompt according to the danger level when the current driving vehicle is in a manual driving mode, the driving prompt including a voice prompt and an image prompt.

[0040] In a possible implementation, the driving prompt is an image prompt, and the display unit is specifically configured to display a recommended lane on a display interface of the current driving vehicle based on the vehicle emotion information, the recommended lane being used to avoid a vehicle with road rage.

[0041] In a possible implementation, the processing unit is further configured to adjust a driving state of the current driving vehicle according to the danger level when the current driving vehicle is in an automatic driving mode or an assisted driving mode, the adjusting the driving state of the vehicle including one or more of the following: adjusting a driving mode, increasing or decreasing a cruise speed, changing a lane, and adjusting a route plan.

[0042] In a possible implementation, the surrounding environment information includes vehicle behavior information, and the processing unit is specifically configured to determine driving emotions of one or more vehicles around the current driving vehicle based on the vehicle behavior information, the vehicle behavior information including road rage behavior, the road rage behavior including one or more of the following: honking, flashing a light, sudden acceleration or deceleration, and sudden lane changing.

[0043] In a possible implementation, the surrounding environment information further includes vehicle dynamic information, and the processing unit is specifically configured to determine an emotion diffusion condition of one or more vehicles around the current driving vehicle according to the vehicle dynamic information, the vehicle dynamic information including one or more of the following: a vehicle position, a vehicle speed, and a vehicle acceleration or deceleration.

[0044] In a possible implementation, the display unit is specifically configured to mark the vehicle emotion on a display interface of the current driving vehicle based on different emotion marking manners, a set of the different emotion marking manners and a set of emotions of the vehicle emotion having a mapping relationship.

[0045] In a possible implementation, the display unit is specifically configured to mark an emotion diffusion direction and an emotion diffusion range on a display interface of the current driving vehicle based on the emotion diffusion condition.

[0046] In a possible implementation, the display unit is further configured to mark the spreading direction of the first vehicle to the second vehicle on the display interface of the current vehicle based on the direction marker when the emotion spreading direction indicates that the emotion spreads from the first vehicle to the second vehicle.

[0047] In a possible implementation, the display unit is further configured to cancel the marking of the at least one vehicle on the display interface of the vehicle when the at least one vehicle around the vehicle meets an emotion falling condition, where the emotion falling condition includes that the road rage behavior does not occur within an emotion falling time.

[0048] In a third aspect, an embodiment of the present application provides a vehicle-mounted device, which includes a processor coupled with a memory, and the processor is configured to store instructions, and when the instructions are executed by the processor, the vehicle-mounted device performs the method in the first aspect or any possible implementation of the first aspect.

[0049] In a fourth aspect, an embodiment of the present application provides a vehicle, which includes at least one vehicle-mounted device, and the vehicle-mounted device includes a processor coupled with a memory, and the processor is configured to store instructions, and when the instructions are executed by the processor, the vehicle performs the method in the first aspect or any possible implementation of the first aspect.

[0050] In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium, which stores instructions, and when the instructions are executed, the computer performs the method in the first aspect or any possible implementation of the first aspect.

[0051] In a sixth aspect, an embodiment of the present application provides a computer program product, which includes instructions, and when the instructions are executed, the computer performs the method in the first aspect or any possible implementation of the first aspect.

[0052] It can be understood that the beneficial effects that can be achieved by any one of the information display devices, computing devices, computing device clusters, computer-readable media, or computer program products provided above can refer to the beneficial effects in the corresponding method, which will not be repeated here. BRIEF DESCRIPTION OF DRAWINGS

[0053] FIG. 1 is a schematic diagram of a system architecture of a vehicle system according to an embodiment of the present application;

[0054] FIG. 2 is a flowchart of an information display method according to an embodiment of the present application;

[0055] FIG. 3 is a flowchart of another information display method according to an embodiment of the present application;

[0056] FIG. 4 is a schematic diagram of a driving emotion information mark according to an embodiment of the present application;

[0057] FIG. 5 is a schematic diagram of another driving emotion information mark according to an embodiment of the present application;

[0058] FIG. 6 is a schematic diagram of a road vehicle emotion display according to an embodiment of the present application;

[0059] FIG. 7 is a schematic diagram of another road vehicle emotion display according to an embodiment of the present application;

[0060] FIG. 8 is a schematic diagram of another road vehicle emotion display according to an embodiment of the present application;

[0061] FIG. 9 is a schematic diagram of a driving emotion range merging according to an embodiment of the present application;

[0062] FIG. 10a is a schematic diagram of a driving emotion cancel mark according to an embodiment of the present application;

[0063] FIG. 10b is a schematic diagram of another driving emotion cancel mark according to an embodiment of the present application;

[0064] FIG. 11 is a schematic diagram of an information display device according to an embodiment of the present application;

[0065] FIG. 12 is a schematic diagram of a vehicle-mounted device according to an embodiment of the present application;

[0066] FIG. 13 is a schematic diagram of a vehicle according to an embodiment of the present application. DETAILED DESCRIPTION

[0067] The present application provides an information display method and device, which can improve the driving safety of a current driving vehicle.

[0068] The terms "first", "second", "third", "fourth" and the like in the description and in the claims of the present application, if any, are used for distinguishing between similar objects talking about the embodiments and do not necessarily have a particular chronological, spatial or logical ordering other than that which arises out of the context. Like numbers refer to like elements throughout. The terms "comprise", "comprising", "include", and / or "including", as well as forms and / or conjugations thereof, have one or more of the meanings as follows: these terms specify the presence of stated features and do not preclude the presence or addition of one or more other features, irrespective of whether these features are or are not quantified in the statement. The term "consisting essentially of does not exclude the presence of additional features that do not materially affect the basic and novel characteristics of the embodiments described herein.

[0069] In the embodiments of the present application, the word "exemplary" or "for example" is used to mean serving as an example, instance, or illustration. Any embodiment or design described in this application as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "for example" is intended to present concepts in a concrete manner.

[0070] First, some terms involved in the embodiments of the present application are introduced to facilitate the understanding of the technical solutions by those skilled in the art.

[0071] The head-up display (HUD) is also called a heads-up display. The head-up display can project some vehicle driving information (for example, vehicle speed, navigation information, vehicle state, etc.) onto a transparent surface (for example, a windshield) in front of the driver. The head-up display can enable the driver to avoid looking down, thereby increasing driving safety and convenience.

[0072] In order to make the technical solutions of the present application more clear and easy to understand, the system architecture of the present application is introduced below in combination with the drawings.

[0073] Please refer to FIG. 1, which is a system architecture schematic diagram of a vehicle system provided by an embodiment of the present application. In the example shown in FIG. 1, the vehicle system 10 includes various subsystems, such as a travel subsystem 101, a sensor subsystem 102, a control subsystem 103, a peripheral device 104, a power supply 105, and a user interface 106. Optionally, the vehicle system 10 can also include more or fewer subsystems, and each subsystem can include multiple components. Each subsystem or component of the vehicle system 10 can be interconnected by wired or wireless means.

[0074] The travel subsystem 101 includes components that provide power movement for the vehicle system 10. In one embodiment, the travel system 102 can include an engine 1011, a transmission 1012, an energy source 1013, and wheels 1014. Among them, the engine 1011 converts the energy source 1013 into mechanical energy. The engine 1011 can be an internal combustion engine, an electric motor, an air compression engine, or other types of engine combinations, such as a hybrid engine composed of a gasoline engine and an electric motor, a hybrid engine composed of an internal combustion engine and an air compression engine.

[0075] The energy source 1013 is used to provide energy for various subsystems of the vehicle system 10. The energy source 1013 includes gasoline, diesel, other petroleum-based fuels, propane, other compressed gas-based fuels, ethanol, solar panels, batteries, and other sources of electricity.

[0076] The transmission 1012 is used to transmit mechanical power from the engine 1011 to the wheels 1014. The transmission 1012 includes a gearbox, a differential, and drive shafts, which include one or more shafts that can be coupled to the wheels 1014. In one embodiment, the transmission 1012 can also include other devices, such as a clutch.

[0077] The sensor subsystem 102 includes one or more sensors for sensing and measuring. For example, the sensor subsystem 102 includes a positioning unit 1021 (e.g., a global positioning GPS unit, a Beidou unit, or other positioning unit), an inertial measurement unit (IMU) 1022, a radar 1023, a laser rangefinder 1024, and a camera 1025.

[0078] The sensor subsystem 102 also includes sensors that detect internal systems of the vehicle (e.g., an in-vehicle air quality detector, a fuel gauge, an oil temperature gauge, etc.). Sensory data from one or more of the sensors can be used to analyze and detect objects and their respective characteristics (e.g., position, shape, direction, velocity, etc.). The vehicle system 10 can implement autonomous safe operation functions of the vehicle based on detection and recognition of one or more of the sensors in the sensor subsystem 102.

[0079] The positioning unit 1021 can be used to determine the geographical position of the vehicle, such as the latitude and longitude information of the location where the vehicle is located. The inertial measurement unit (IMU) 1022 is used to sense changes in position and orientation of the vehicle based on inertial acceleration rates. In one embodiment, the inertial measurement unit (IMU) 1022 can be a combination of an accelerometer and a gyroscope.

[0080] The radar 1023 is used to sense the surrounding environment of the vehicle using radio signals, such as millimeter wave radar and laser radar. In some embodiments, in addition to sensing objects in the surrounding environment, the radar 1023 can also be used to sense the velocity and heading direction of the objects. The laser rangefinder 1024 can use laser light to sense objects in the environment where the vehicle is located. In some embodiments, the laser rangefinder 1024 includes one or more laser sources, a laser scanner, and one or more detectors, as well as other system components. The camera 1025 is used to capture multiple images of the surrounding environment of the vehicle, and the camera 1025 can be a still camera or a video camera.

[0081] The control subsystem 103 is used to control the operation of the vehicle and vehicle components. The control subsystem 103 includes a steering unit 1031, a throttle 1032, a braking unit 1033, an electronic control unit (ECU) 1034, and a vehicle controller 1035.

[0082] The steering unit 1031 is operable to adjust the heading of the vehicle. For example, in one embodiment, the steering unit 1031 can be a steering wheel system. The throttle 1032 is used to control the rate of operation of the engine 1011 and, in turn, the rate of the vehicle. The braking unit 1033 is used to control the deceleration of the vehicle, and the braking unit 1033 slows the rotational speed of the wheels 1014 based on friction. In some embodiments, the braking unit 1033 can convert the kinetic energy of the wheels 1014 into stored electrical energy. The braking unit 1033 can also take other forms to slow the rotational speed of the wheels 1014 to control the rate of the vehicle.

[0083] The vehicle electronic control unit 1034 includes one electronic control unit (ECU) or multiple ECUs on the vehicle system 10, which can communicate with the peripherals 104, the sensor subsystem 102, etc. The vehicle electronic control unit (ECU) 1034 can include at least one processor 1341 and a memory 1342 (read-only memory, ROM). The at least one processor can be one or more microprocessors, controllers, microcontroller units (MCUs), or state machines. Furthermore, the at least one processor can be a combination of processing cores, for example, one or more microprocessors in combination with one or more digital signal processor cores, with one or more microprocessor cores, or with one or more digital signal processor cores. The memory 1342 can provide storage of data, for example, the memory 1342 can store image, address, route, driving route, etc. data.

[0084] The body control module (BCM) 1035 is also known as the body control module (BCM), and the body control module (BCM) 1035 is used to receive signals from various sensors, and according to these information and the motion state of the vehicle and the operation of the driver, control the corresponding execution elements, such as the vehicle window, the light, the door lock, and the wiper, etc. The body control module (BCM) 1035 can also provide various vehicle signals to the electronic control unit (ECU) 1034, for example, the body control module (BCM) 1035 provides the vehicle engine state, the rate, the gear, the steering wheel angle, etc. information to the electronic control unit (ECU) 1034.

[0085] The peripherals 104 can include a wireless communication unit 1041, a navigation unit 1042, a microphone 1043, and a speaker 1044. The vehicle system 10 interacts with external sensors, other vehicles, other computer systems, or users through the peripherals 104. For example, the navigation unit 1042 can interact with the sensor subsystem 102, which derives navigation data for the vehicle in real-time, and provides the navigation data to the driver of the vehicle through the navigation unit 1042, which can include location data for the vehicle, suggested route planning travel instructions, and visible map information for the driver of the vehicle. The navigation unit 1042 can also present the navigation data to the driver of the vehicle through a display element, which can be operated through a touchscreen, for example, through which a user can input geographic location values for a starting point and an ending point, and the navigation unit 1042 provides route planning capabilities and navigation capabilities.

[0086] In other cases, the peripherals 104 can provide means for the vehicle to communicate with other devices located within the vehicle. For example, the microphone 1043 can receive audio (e.g., voice commands) from a user of the vehicle. Similarly, the speaker 1044 can output audio to a user of the vehicle.

[0087] The wireless communication unit 1041 can wirelessly communicate with one or more devices, either directly or via a communication network. For example, the wireless communication unit 1041 can communicate using a 3G network, a 4G network, a 5G network, or a future evolution network. The wireless communication unit 1041 can also communicate using a wireless local area network (WLAN). In some embodiments, the wireless communication unit 1041 can communicate directly with devices using an infrared link, Bluetooth, or ZigBee. The wireless communication unit 1041 also includes various vehicle communication devices, for example, one or more dedicated short range communications (DSRC) devices, which can enable data communication between vehicles and off-vehicle devices.

[0088] The power source 105 can provide power to various components of the vehicle system 10. In one embodiment, the power source 105 can be a rechargeable lithium-ion or lead-acid battery. One or more battery packs of such a battery can be configured as the power source to provide power to various components of the vehicle. In some embodiments, the power provided by the power source 105 can be sourced from the energy source 1013.

[0089] The user interface 106 includes software interfaces or hardware interfaces through which a user interacts with the vehicle system 10, such as operating system interfaces and application program interfaces, and hardware interfaces such as USB interfaces and HDMI interfaces, etc. For example, the user can operate the navigation unit 1042 through a software interface to receive a navigation address input by the user.

[0090] It should be noted that one or more components of the vehicle system 10 described above can be installed separately from or in association with the vehicle. For example, the memory 1342 can exist partially or entirely separately from the vehicle. The components described above can be coupled together in a wired or wireless manner.

[0091] It can be understood that the subsystems or components of the vehicle system 10 described above are one example of a vehicle system implementation, and in actual vehicle systems, various subsystems and components of the subsystems can be added or deleted as needed, and the example shown in FIG. 1 should not be understood as a limitation on the embodiments of the present application.

[0092] The vehicle system 10 described above includes various types of vehicles, such as cars, trucks, motorcycles, buses, boats, lawn mowers, recreational vehicles, amusement park vehicles, construction equipment vehicles, trolleys, golf carts, etc., and the embodiments of the present application are not limited.

[0093] Based on the vehicle system 10 shown in FIG. 1, the present application also provides a method for displaying information. The method for displaying information provided by the embodiments of the present application will be described below in conjunction with the embodiments.

[0094] Referring to FIG. 2, FIG. 2 is a schematic diagram of a method for displaying information provided by an embodiment of the present application. In the example shown in FIG. 2, the method includes the following steps:

[0095] 201. Collecting surrounding environment information of a currently traveling vehicle, the surrounding environment information being used to indicate a driving state of one or more vehicles around the currently traveling vehicle.

[0096] The vehicle system 10 collects surrounding environment information of a currently traveling vehicle, the surrounding environment information being used to indicate a driving state of one or more vehicles around the currently traveling vehicle. In addition to indicating the driving state of the surrounding vehicles, the surrounding environment information can also indicate other environmental information that affects the driving of the vehicle, such as road markings, personnel, animals, bicycles, electric vehicles, etc.

[0097] In a possible implementation, the surrounding environment information in the embodiments of the present application includes vehicle behavior information and vehicle dynamic information, where the vehicle behavior information is used to indicate the operating behavior of the driver of the vehicle, for example, the vehicle behavior information includes honking, flashing, sudden acceleration and deceleration, sudden lane changing, and overtaking, etc. The vehicle dynamic information is used to indicate the driving data of the vehicle, for example, the vehicle dynamic information such as vehicle position, vehicle speed, and vehicle acceleration and deceleration.

[0098] Referring to FIG. 3, FIG. 3 is a flow diagram of another information display method provided by the embodiments of the present application. In the example shown in FIG. 3, the current driving vehicle can collect vehicle behavior information and vehicle dynamic information of surrounding vehicles based on the vehicle outside sensors, and the vehicle behavior information and the vehicle dynamic information are used to analyze the vehicle emotion and the emotion diffusion situation.

[0099] In the example shown in FIG. 3, for example, the current driving vehicle collects the driving behavior of the surrounding vehicles based on the camera and the microphone, and in real time detects the vehicle dynamics of the surrounding vehicles, the driving behavior of the surrounding vehicles includes honking, flashing, sudden acceleration and deceleration, and overtaking, etc., and the vehicle dynamics of the surrounding vehicles includes vehicle position, vehicle speed, acceleration, and deceleration.

[0100] In a possible implementation, in the process of collecting the surrounding environment information, the vehicle system 10 can collect image data of the surrounding environment of the current driving vehicle through the camera of the sensor subsystem 102, or collect point cloud data of the surrounding environment collected by the laser radar. After the vehicle system 10 collects the image data and the point cloud data of the surrounding environment, the display object can be generated based on the image data or the point cloud data, and the display object is displayed on the display interface of the current driving vehicle, the display object includes the road markings, vehicles, personnel, and animals, etc. collected by the vehicle system 10.

[0101] It can be understood that the vehicle system 10 for collecting the surrounding environment information in the embodiments of the present application can be a driving vehicle, or can be a stationary vehicle, and the specific implementation is not limited.

[0102] 202. Generate vehicle emotion information based on the surrounding environment information, the vehicle emotion information is used to indicate one or more of the following contents of one or more vehicles around the current driving vehicle: driving emotion and emotion diffusion situation.

[0103] After the vehicle system 10 collects the surrounding environment information, the vehicle emotion information is generated based on the surrounding environment information, where the vehicle emotion information is used to indicate one or more of the following contents of one or more vehicles around the current driving vehicle: driving emotion and emotion diffusion situation, the driving emotion reflects the driving emotion of the surrounding vehicles, and the emotion diffusion situation reflects the propagation and diffusion situation of the driving emotion of the surrounding vehicles among the vehicles, and the emotion diffusion situation includes the emotion diffusion speed, the emotion diffusion range, and the emotion diffusion direction.

[0104] Specifically, in the process of generating the vehicle emotion information based on the collected surrounding environment information, the vehicle system 10 analyzes the driving emotion of the surrounding vehicles based on the vehicle behavior information, where the driving emotion is, for example, calm, fatigue, and anger, etc. It should be noted that the driving emotion can be divided into different emotion levels, for example, the different emotion levels of the anger emotion include mild anger, moderate anger, and high anger. For another example, the different emotion levels of the fatigue emotion include mild fatigue, moderate anger, and high fatigue.

[0105] In addition, since the driving emotion has the emotion propagation and diffusion phenomenon among vehicles, for example, when a vehicle has the anger emotion, it is easy to propagate the anger emotion to other surrounding vehicles. Therefore, in the process of generating the vehicle emotion information based on the surrounding environment information, the vehicle system 10 can also analyze the emotion diffusion situation of the surrounding vehicles based on the vehicle behavior information and the vehicle dynamic information, where the emotion diffusion situation includes one or more of the following: emotion diffusion speed, emotion diffusion direction, and emotion diffusion range. The emotion diffusion speed, the emotion diffusion direction, and the emotion diffusion range in the embodiments of the present application are described in detail below.

[0106] The emotion diffusion speed can reflect the propagation and diffusion speed of the driving emotion among vehicles, and the vehicle system 10 can determine the emotion diffusion speed based on the total number of emotion diffusion vehicles and the diffusion time. The emotion diffusion speed satisfies the following formula: v = N / t

[0107] Where v is the emotion diffusion speed, N is the total number of emotion diffusion vehicles, and t is the diffusion time.

[0108] The emotion diffusion direction can reflect the propagation and diffusion direction of the driving emotion among vehicles, and can also reflect the relative direction of the driving emotion vehicle and the current driving vehicle, for example, the relative direction of the driving emotion vehicle and the current driving vehicle includes the direction close to the current driving vehicle and the direction away from the current driving vehicle.

[0109] The emotion diffusion range can reflect the range that the driving emotion can diffuse, and the emotion diffusion range can also be expressed by the emotion diffusion distance. The emotion diffusion range refers to an area affected by the driving emotion, and the emotion diffusion range can have other vehicles or can not have other vehicles, for example, when there is no other vehicle in the emotion diffusion range, the emotion diffusion range can be a range with the diffusion source corresponding vehicle as the center. For another example, when there are other vehicles in the emotion diffusion range, the emotion diffusion range can be a multi-center range formed by the diffusion source corresponding vehicle and the emotion diffusion vehicles.

[0110] Please continue to refer to FIG. 3. In the example shown in FIG. 3, the current driving vehicle analyzes the vehicle emotion of the surrounding vehicle and the emotion diffusion situation based on the collected vehicle behavior information and vehicle dynamic information. Specifically, the current driving vehicle analyzes the driving emotion of the surrounding vehicle according to the vehicle behavior of the surrounding vehicle, and analyzes the emotion diffusion situation according to the driving emotion propagation phenomenon of the surrounding vehicle and the vehicle dynamic information. The emotion diffusion situation includes the emotion diffusion speed, the emotion diffusion direction, and the emotion diffusion range.

[0111] In the example shown in FIG. 3, for example, the current driving vehicle detects that the surrounding vehicle honks, flashes, suddenly accelerates or decelerates, and changes lanes, and then the current driving vehicle determines that the driving emotion of the vehicle is anger. For another example, the current driving vehicle detects that the surrounding vehicle has a driving emotion, and the driving emotion is diffused to other vehicles, and then the current driving vehicle further analyzes the emotion diffusion speed, the emotion diffusion direction, and the emotion diffusion range based on the driving emotion diffusion and the dynamic information of the involved vehicles.

[0112] In a possible implementation, the vehicle behavior information in the embodiments of the present application includes road rage behavior, and the road rage behavior includes one or more of the following: honking, flashing, sudden acceleration or deceleration, and sudden lane change. The vehicle behavior information also includes fatigue behavior and other driving behaviors, and the fatigue behavior includes one or more of the following: slow driving, line driving, and snake driving. In the process of determining the driving emotion of one or more vehicles around the current driving vehicle based on the vehicle behavior information, for example, when the vehicle system 10 detects that the surrounding vehicle honks, flashes, suddenly accelerates or decelerates, and suddenly changes lanes, the vehicle system 10 determines that the driving emotion of the surrounding vehicle is anger. For another example, when the vehicle system 10 detects that the surrounding vehicle gradually deviates from the lane, the vehicle system 10 determines that the driving emotion of the surrounding vehicle is fatigue.

[0113] The vehicle behavior information in the embodiments of the present application can also be divided according to the specific behavior content, so that the vehicle system 10 can analyze the driving emotion according to more fine-grained driving behaviors. For example, the honking behavior can be subdivided according to the number of honks, the honk interval, and the honk duration. For another example, the flashing behavior can also be subdivided according to the high beam and low beam type, the number of flashes, the flash interval, and the flash duration. For another example, the sudden acceleration or deceleration behavior can be subdivided according to the initial vehicle speed, the current traffic flow, the acceleration, the deceleration, and the like. For another example, the sudden lane change behavior can be subdivided according to whether the turn signal is turned on, the lane change speed, and the lane change time.

[0114] The vehicle system 10 in the embodiments of the present application can also determine the emotion level of the driving emotion according to the specific behavior content in the vehicle behavior information. For example, when the surrounding vehicle honks once or multiple times and the honking interval time is greater than the time interval threshold, the vehicle system 10 can determine that the driving emotion of the surrounding vehicle is mild anger. When the surrounding vehicle honks multiple times and the honking interval time is less than the time interval threshold, the vehicle system 10 can determine that the driving emotion of the surrounding vehicle is moderate anger. When the surrounding vehicle honks for a long time and the honking time is greater than the honking time threshold, the vehicle system 10 can determine that the driving emotion of the surrounding vehicle is high anger.

[0115] For another example, the vehicle system 10 detects that the surrounding vehicle performs sudden acceleration or deceleration, when the acceleration or deceleration of the surrounding vehicle is greater than a first threshold but less than a second threshold, the vehicle system 10 can determine that the driving emotion of the surrounding vehicle is mild anger. When the acceleration or deceleration of the surrounding vehicle is greater than the second threshold but less than a third threshold, the vehicle system 10 can determine that the driving emotion of the surrounding vehicle is moderate anger. When the acceleration or deceleration of the surrounding vehicle is greater than the third threshold, the vehicle system 10 can determine that the driving emotion of the surrounding vehicle is high anger.

[0116] For another example, the vehicle system 10 detects that the surrounding vehicle performs lane changing, when the lane changing speed of the surrounding vehicle is less than a lane changing speed threshold and the lane changing time is less than a lane changing time threshold, the vehicle system 10 can determine that the driving emotion of the surrounding vehicle is mild anger. When the lane changing speed of the surrounding vehicle is greater than the lane changing speed threshold or the lane changing time is greater than the lane changing time threshold, the vehicle system 10 can determine that the driving emotion of the surrounding vehicle is moderate anger. When the lane changing speed of the surrounding vehicle is greater than the lane changing speed threshold and the lane changing time is greater than the lane changing time threshold, the vehicle system 10 can determine that the driving emotion of the surrounding vehicle is high anger.

[0117] In a possible implementation, in addition to determining the emotion level of the driving emotion according to the specific behavior content in the vehicle behavior information, the vehicle system 10 can also determine the level according to the appearance order of the driving emotion. For example, the vehicle system 10 determines that the driving emotion appearing first is high driving emotion and the driving emotion appearing later is mild driving emotion.

[0118] In a possible implementation, the vehicle dynamic information in the embodiments of the present application includes one or more of the following: the number of vehicles, the position of the vehicle, the speed of the vehicle, and the acceleration or deceleration of the vehicle. In the process of determining the emotion diffusion of one or more vehicles around the currently driving vehicle according to the vehicle dynamic information, the vehicle system 10 can determine to analyze the emotion diffusion of one or more vehicles around the currently driving vehicle according to different vehicle dynamic information.

[0119] For example, the vehicle system 10 can analyze the emotion diffusion direction according to the vehicle position. Specifically, the vehicle system 10 calculates the distance between the current driving vehicle and the emotion diffusion vehicle according to the vehicle position of the emotion diffusion vehicle. When the distance is reduced, the vehicle system 10 determines that the emotion diffusion direction is close to the current driving vehicle. When the distance is increased, the vehicle system 10 determines that the emotion diffusion direction is away from the current driving vehicle.

[0120] For another example, the vehicle system 10 can also analyze the emotion diffusion range according to the vehicle position and the vehicle speed. Specifically, the vehicle system 10 determines that there is a vehicle with driving emotion around the current driving vehicle, and determines a range based on the vehicle position of the vehicle and the vehicle speed of the vehicle, which is the emotion diffusion range. If there are multiple vehicles with driving emotion around the current driving vehicle, the corresponding emotion diffusion range is determined based on the vehicle positions of the multiple vehicles and the vehicle speeds of the multiple vehicles.

[0121] For another example, the vehicle system 10 can also analyze the emotion diffusion speed according to the number of vehicles. Specifically, the vehicle system 10 determines the number of vehicles with driving emotion and the time when the vehicle with driving emotion appears driving emotion. The vehicle system 10 can determine the emotion diffusion time according to the time when the vehicle with driving emotion appears driving emotion, and calculate the emotion diffusion speed according to the number of vehicles with driving emotion and the emotion diffusion time.

[0122] In a possible implementation, after the vehicle system 10 generates the emotion information, the vehicle system 10 further determines the danger degree of the current driving vehicle based on the vehicle emotion information. The danger degree can be used to indicate the probability of traffic accident of the current driving vehicle. For example, the vehicle system 10 determines the danger degree of the vehicle based on the emotion diffusion direction. When the emotion diffusion direction is close to the current driving vehicle, the danger degree of the current driving vehicle is 1. When the emotion diffusion direction is away from the current driving vehicle, the danger degree of the current driving vehicle is 0.

[0123] For another example, the vehicle system 10 determines the danger degree of the vehicle based on the emotion diffusion range. If the distance between the current driving vehicle and the boundary of the emotion diffusion range is less than a safe distance, the danger degree of the current driving vehicle is 1. If the distance between the current driving vehicle and the boundary of the emotion diffusion range is greater than or equal to the safe distance, the danger degree of the current driving vehicle is 0. The safe distance includes a lateral safe distance and a longitudinal safe distance. The lateral safe distance can be the width of a single lane, for example, the lateral safe distance is 3m. The longitudinal safe distance is related to the vehicle speed, for example, when the vehicle speed is 20-40km / h, the longitudinal safe distance is 30m.

[0124] For another example, the vehicle system 10 determines the dangerous degree of the current driving vehicle based on the emotion diffusion speed. If the emotion diffusion speed is greater than the diffusion speed threshold, the dangerous degree of the current driving vehicle is 1, and if the emotion diffusion speed is less than or equal to the diffusion speed threshold, the dangerous degree of the current driving vehicle is 0.

[0125] It can be understood that the above dangerous degree is also a value between 0 and 1, and the closer the dangerous degree is to 0, the lower the dangerous degree, and the closer the dangerous degree is to 1, the higher the dangerous degree, which can indicate the probability of the current driving vehicle having a traffic accident. For example, the smaller the distance between the current driving vehicle and the boundary of the emotion diffusion range than the safety distance, the closer the dangerous degree is to 0, and the greater the distance between the current driving vehicle and the boundary of the emotion diffusion range than the safety distance, the closer the dangerous degree is to 1. For another example, the smaller the emotion diffusion speed is than the diffusion speed threshold, the closer the dangerous degree of the current driving vehicle is to 0, and the greater the emotion diffusion speed is than the diffusion speed threshold, the closer the dangerous degree of the current driving vehicle is to 1.

[0126] In one possible implementation, when the vehicle emotion information satisfies a dangerous determination condition, the vehicle system 10 determines that the current driving vehicle is dangerous, wherein the determination condition includes one or more of the following: the emotion diffusion direction is close to the current driving vehicle, the distance between the emotion diffusion range and the current driving vehicle is less than the distance threshold, or the emotion diffusion speed is greater than the speed threshold. Alternatively, when the dangerous degree determined by the vehicle system based on the vehicle emotion information is greater than or equal to a set threshold, it is determined that the current driving vehicle is dangerous.

[0127] 203. Display a mark of the vehicle emotion information on the display interface of the current driving vehicle.

[0128] After the vehicle system 10 generates the vehicle emotion information based on the surrounding environment information, a mark of the vehicle emotion information can be displayed on the display interface of the current driving vehicle, wherein the display interface of the current driving vehicle includes a head-up display (HUD) and an in-vehicle display screen, and the in-vehicle display screen includes an instrument panel screen, a car machine display screen, a streaming rearview mirror screen, etc. The marked vehicle emotion information includes driving emotion and emotion diffusion situation. The driving emotion includes emotion type and emotion level, and the emotion type is, for example, calm, fatigue, and anger, and the emotion level is, for example, mild, moderate, and high. The emotion diffusion situation includes, for example, emotion diffusion direction, emotion diffusion range, and emotion diffusion speed.

[0129] In a possible implementation, the vehicle system 10 marks the vehicle emotion on the display interface of the current driving vehicle based on different emotion marking manners, where the set of different emotion marking manners includes marking based on different colors, marking based on different shapes, and marking based on different symbols. The set of different emotion marking manners has a mapping relationship with the set of emotions of the vehicle emotion. For example, in the set of different color marking manners, different colors correspond to different driving emotions, or different saturations of the same color correspond to different driving emotions. In the set of different shape marking manners, different shapes correspond to different driving emotions.

[0130] Referring to FIG. 4, FIG. 4 is a schematic diagram of marking of the vehicle emotion according to an embodiment of the present application. In the example shown in FIG. 4, the vehicle system 10 can mark the vehicle emotion by different marking manners. For example, in the example shown in FIG. (a), the vehicle system 10 can mark the driving emotion of the surrounding vehicle based on color marking, and distinguish the emotion levels of the driving emotion by different colors, for example, marking red represents that the driving emotion is highly angry, marking orange represents that the driving emotion is moderately angry, and marking yellow represents that the driving emotion is slightly angry. In the example shown in FIG. (b), the vehicle system 10 can mark the driving emotion of the surrounding vehicle based on emoticon, and different emoticons can correspond to different emotion levels of the driving emotion.

[0131] In a possible implementation, the vehicle system 10 can also mark the driving emotion according to a diffusion order marking manner. The vehicle system 10 marks the first vehicle appearing the driving emotion as red, indicating that the vehicle is the propagation source, marks other vehicles propagating the driving emotion from the vehicle as orange, and identifies the newly added vehicle appearing the driving emotion by flashing on the display interface.

[0132] Referring to FIG. 4, in the example shown in FIG. (c), the vehicle system 10 can mark the driving emotion according to the diffusion order of the driving emotion, for example, the vehicle system can mark the diffusion order of the driving emotion by numbers or colors. When a newly added vehicle appearing the driving emotion appears in the surrounding vehicles, the vehicle system 10 can mark the newly added vehicle appearing the driving emotion as flashing on the display interface.

[0133] In a possible implementation, the vehicle system 10 can also mark one or more vehicles appearing the emotion diffusion situation based on multiple marking manners, including marking the emotion diffusion range, the emotion diffusion direction, and the emotion diffusion speed. For example, the vehicle system 10 marks the emotion diffusion direction based on a direction marking symbol. When the emotion diffusion direction indicates that the driving emotion diffuses from a first vehicle to a second vehicle, the vehicle system 10 marks the diffusion direction of the first vehicle pointing to the second vehicle on the display interface of the current driving vehicle based on a direction arrow.

[0134] For another example, the vehicle system 10 can mark the driving emotion diffusion range based on a closed curve, and the shape of the closed curve can be a circle, an ellipse, or a water drop shape, without limitation. The vehicle system 10 can mark the driving emotion diffusion speed based on a numerical value, and the marked driving emotion diffusion speed includes the overall driving emotion diffusion speed in the emotion diffusion range, and the emotion diffusion speed between different individual surrounding vehicles.

[0135] Referring to FIG. 5, FIG. 5 is a marking diagram of an emotion diffusion situation provided by an embodiment of the present application. In the example shown in FIG. 5, the vehicle system 10 can mark the emotion diffusion range, the emotion diffusion direction, and the emotion diffusion speed of one or more vehicles, for example, in the example shown in FIG. (a), the emotion diffusion direction includes the diffusion direction of the driving emotion between the surrounding vehicles, for example, the driving emotion of the vehicle 1 diffuses to the vehicles 2 and 3. The emotion diffusion direction also includes the relative direction of the emotion diffusion between the surrounding vehicles and the currently driving vehicle, for example, the relative direction of the emotion diffusion between the surrounding vehicles 1-3 and the currently driving vehicle includes the direction close to the currently driving vehicle and the direction away from the currently driving vehicle.

[0136] For another example, the vehicle system 10 can mark the emotion diffusion range based on a range boundary line on the display interface of the currently driving vehicle, and the area within the range boundary line has driving emotion. The vehicle system 10 can also mark one or more emotion diffusion sources in the emotion diffusion range. In addition, the vehicle system 10 can also mark the emotion diffusion speed in a certain emotion diffusion range, or mark the emotion diffusion speed in a certain emotion diffusion direction.

[0137] Referring to FIG. 5, in FIG. (b) of the example shown in FIG. 5, the vehicle system 10 marks the driving emotion diffusion range of the surrounding vehicles based on a closed curve, for example, the vehicles 1-7 in FIG. (b) form a driving emotion diffusion range. At the same time, the vehicle system 10 can also mark the emotion diffusion speed in the emotion diffusion range, for example, the driving emotion diffusion speed in FIG. (b) is v0, which is determined based on the total number of emotion diffusion vehicles and the diffusion time. In addition, the vehicle system 10 can also mark the driving emotion diffusion speed between the surrounding vehicles, for example, the driving emotion diffusion speed from the vehicle 1 to the vehicle 2 in FIG. (b) is v1, the driving emotion diffusion speed from the vehicle 1 to the vehicle 3 is v2, and the driving emotion diffusion speed from the vehicle 1 to the vehicle 4 is v3.

[0138] In the process of marking the vehicle emotion information on the display interface of the currently driving vehicle, the vehicle system 10 can mark the vehicle model in the vehicle modeling diagram of the currently driving vehicle based on the vehicle emotion information, mark the driving scene on the head-up display (HUD) of the currently driving vehicle based on the vehicle emotion information, or mark the driving scene in the real-time video stream of the currently driving vehicle based on the vehicle emotion information, without limitation.

[0139] The following describes the marking of vehicle emotion information in several display scenarios.

[0140] In one possible implementation, the vehicle system 10 can display a vehicle modeling map of the surrounding environment in the in-vehicle display screen of the current driving vehicle, and mark the vehicle emotion information of the surrounding vehicles in the vehicle modeling map. Specifically, the vehicle system 10 can mark the driving emotion and the emotion diffusion of the vehicle models in the vehicle modeling map, including the emotion diffusion direction, speed, and range. For example, the vehicle system 10 can mark the driving emotion of a single vehicle model based on various marking methods such as colors, emoticons, and the like, and the vehicle system 10 can also mark the emotion diffusion range, emotion diffusion direction, and emotion diffusion speed of one or more vehicle models based on various marking methods such as range lines, numerical values, and direction symbols.

[0141] Referring to FIG. 6, FIG. 6 is a schematic diagram of a vehicle modeling map displaying vehicle emotion information according to an embodiment of the present application. In the example shown in FIG. 6, the in-vehicle screen of the current driving vehicle displays a vehicle modeling map of the surrounding environment of the vehicle, and the surrounding vehicle models of the current driving vehicle are displayed in the vehicle modeling map. The vehicle system 10 detects the vehicle behavior information of the surrounding vehicles, analyzes the driving emotion of the vehicles according to the vehicle behavior information, and marks the driving emotion of the vehicle models in the vehicle modeling map. For example, the vehicle system 10 marks the driving emotion of vehicle model 1 as high anger using a red symbol in the vehicle modeling map, and marks the driving emotion of vehicle model 2 as moderate anger using an orange symbol.

[0142] In the example shown in FIG. 6, the vehicle system 10 can further analyze the emotion diffusion information according to the behavior information and the vehicle dynamic information, and mark the emotion diffusion information in the vehicle modeling map. For example, the vehicle system 10 can mark the diffusion of the driving emotion of vehicle model 1 to vehicle model 2 using an arrow in the vehicle modeling map. For another example, the vehicle system 10 can mark the emotion diffusion range composed of vehicle model 1, vehicle model 2, and vehicle model 3 using a closed curve in the vehicle modeling map, and the vehicle system 10 can also mark the emotion diffusion speed in the emotion diffusion range using data in the vehicle modeling map.

[0143] In one possible implementation, the vehicle system 10 can also mark the driving emotion and the emotion diffusion in the heads-up display (HUD) of the current driving vehicle. For example, the vehicle system 10 can mark the driving emotion of the surrounding vehicles in the field of view of the front windshield of the current driving vehicle based on various marking methods, and the vehicle system 10 can also mark the emotion diffusion range, emotion diffusion direction, and emotion diffusion speed of one or more vehicles in the field of view of the front windshield based on various marking methods.

[0144] Referring to FIG. 7, FIG. 7 is a schematic diagram of displaying vehicle emotion information by a head-up display (HUD) according to an embodiment of the present application. In the example shown in FIG. 7, the vehicle system 10 can display the driving emotion and the emotion diffusion information of the surrounding vehicles on the front windshield of the current driving vehicle by the HUD, and the display content can be combined with the real scene of the vehicle. For example, the vehicle system 10 marks the driving emotion of the vehicle 1 as high anger by using a red frame on the front windshield of the current driving vehicle, and marks the driving emotion of the vehicle 2 as medium anger by using an orange frame.

[0145] Similarly, the vehicle system 10 can also mark the diffusion of the driving emotion of the vehicle 1 to the vehicle 2 by using an arrow on the HUD of the current driving vehicle. The vehicle system 10 can also mark the emotion diffusion range formed by the vehicle 1, the vehicle 2 and the vehicle 3 by using a closed curve on the HUD of the current driving vehicle, and mark the emotion diffusion speed in the emotion diffusion range by using data.

[0146] It can be understood that in the example shown in FIG. 7, the display content of the HUD can also not be combined with the real scene. For example, the vehicle system 10 can display a vehicle modeling diagram or a real-time video stream on the HUD of the current driving vehicle, and display the driving emotion and the emotion diffusion information in the vehicle modeling diagram or the real-time video stream.

[0147] In a possible implementation, the vehicle system 10 displays a real-time video stream collected by the current driving vehicle on a screen in the current driving vehicle, and the vehicle system 10 can mark the vehicle in the real-time video stream based on the vehicle emotion information. For example, the vehicle system 10 marks the driving emotion of one or more vehicles in the real-time video stream based on a plurality of marking manners, and the vehicle system 10 can also mark the emotion diffusion range, the emotion diffusion direction and the emotion diffusion speed of one or more vehicles in the real-time video stream based on a plurality of marking manners.

[0148] Referring to FIG. 8, FIG. 8 is a schematic diagram of displaying vehicle emotion information by a video stream according to an embodiment of the present application. In the example shown in FIG. 8, the vehicle system 10 can collect the surrounding environment video of the current driving vehicle by using a camera, display the video of the surrounding vehicles on the screen of the current driving vehicle, and mark the driving emotion and the emotion diffusion information of the surrounding vehicles in the real-time video stream.

[0149] In the example shown in FIG. 8, for example, the vehicle system 10 marks the driving emotion of the video vehicle 1 as highly angry using a red symbol and marks the driving emotion of the video vehicle 2 as moderately angry using an orange frame in the real-time video stream of the currently driving vehicle. For another example, the vehicle system 10 can also mark the spread of the driving emotion of the video vehicle 1 to the video vehicle 2 using an arrow in the real-time video stream of the currently driving vehicle. For yet another example, the vehicle system 10 can also mark the range of the emotion spread formed by the video vehicle 1 and the video vehicle 2 using a closed curve and mark the speed of the emotion spread in the range of the emotion spread using data in the real-time video stream of the currently driving vehicle.

[0150] In a possible implementation, the vehicle system 10 can also merge multiple ranges of emotion spread. When the vehicle system 10 detects that multiple ranges of emotion spread with different sources of spread affect each other, the vehicle system 10 can merge the multiple ranges of emotion spread into one range of emotion spread in the display interface.

[0151] Referring to FIG. 9, FIG. 9 is a schematic diagram of the merging of the range of driving emotion spread provided in an embodiment of the present application. In the example shown in FIG. 9, the vehicle system 10 detects that the surrounding vehicles in the range of driving emotion spread 1 and the range of driving emotion spread 2 affect each other, and then the vehicle system 10 merges the range of driving emotion spread 1 and the range of driving emotion spread 2 to obtain a merged range of emotion spread.

[0152] It should be noted that, in the embodiment of the present application, when the vehicle system 10 detects that the driving emotion of a surrounding vehicle disappears, the vehicle system 10 cancels the marking of the driving emotion of the vehicle in the display interface. When the vehicle system 10 detects that the driving emotions of all the vehicles in the range of emotion spread disappear, the vehicle system 10 cancels the marking of the situation of the emotion spread in the display interface.

[0153] Specifically, when the vehicle system 10 detects that the driving emotion of at least one surrounding vehicle meets the emotion back-off condition, the vehicle cancels the marking of the vehicle in the display interface. The emotion back-off condition can be determined based on the emotion back-off time, the safety distance, or other driving emotion detection algorithms. For example, when the vehicle system 10 detects that the emotion of a surrounding vehicle is anger and no corresponding road rage behavior occurs within the emotion back-off time, the vehicle system 10 determines that the driving emotion of the vehicle meets the emotion back-off condition. For another example, if the vehicle system 10 detects that the surrounding vehicle has been away from the currently driving vehicle for more than the safety distance, the vehicle system 10 determines that the driving emotion of the vehicle meets the emotion back-off condition. Similarly, the vehicle system 10 can also determine whether the range of emotion spread meets the condition for the disappearance of the marking of the range of emotion spread based on the time and the safety distance.

[0154] Please refer to FIG. 10a, which is a schematic diagram of canceling the marking of the driving emotion information according to an embodiment of the present application. In the example shown in FIG. 10a, when the vehicle system 10 detects that the surrounding vehicle with the driving emotion of anger does not perform the road rage behaviors such as honking, flashing and cutting in the emotion regression time, the vehicle system 10 determines that the driving emotion of the vehicle meets the emotion regression condition, and the display interface of the current driving vehicle cancels the marking of the driving emotion.

[0155] It can be understood that, in the example shown in FIG. 10a, the vehicle system 10 determines that the driving emotions of all the vehicles in the emotion diffusion range disappear, and the vehicle system 10 cancels the marking of the driving emotion diffusion situation in the display interface of the current driving vehicle. When the number of the vehicles with the driving emotion in the emotion diffusion range decreases, the marked driving emotion diffusion range in the display interface of the current driving vehicle also decreases.

[0156] Please refer to FIG. 10b, which is another schematic diagram of canceling the marking of the driving emotion information according to an embodiment of the present application. In the example shown in FIG. 10b, when the vehicle system 10 detects that the distance between the current driving vehicle and the boundary of the emotion diffusion range of the surrounding vehicle is greater than the safety distance, the vehicle system 10 determines that the driving emotion of the surrounding vehicle does not affect the current driving vehicle, and the vehicle system 10 cancels the marking of the driving emotion and the emotion diffusion situation of the surrounding vehicle in the display interface.

[0157] The “canceling” marking described in the embodiments of the present application can set the visibility of the marking as invisible to save the computing resources, or can set the marking as 100% transparent, so as to restore the display of the marking faster when the marking needs to be displayed, or show the animation effect of the gradual display, and improve the user experience.

[0158] After the vehicle system 10 generates the vehicle emotion information based on the surrounding environment information in the embodiments of the present application, the vehicle system 10 calculates the danger degree based on the vehicle emotion information, and provides the driving prompt for the current driving vehicle according to the danger degree, or changes the driving state of the vehicle according to the danger degree. The following will be introduced respectively.

[0159] In a possible implementation, if the current driving vehicle is in the manual driving mode, the vehicle system 10 provides the driving prompt according to the danger degree, and the driving prompt includes the voice prompt and the image prompt. The driving prompt can suggest the driver of the current driving vehicle to drive carefully, or suggest the driver to move away from the emotion diffusion range, or suggest the driver to change lanes, overtake or slow down.

[0160] When the driving prompt is a voice prompt, the vehicle system 10 can play a voice based on the vehicle emotion information at the current driving vehicle, thereby prompting the driver of the current driving vehicle to pay attention to safety, for example, by a voice assistant broadcasting "a road rage vehicle appears in front, please pay attention to avoid", or soothing the emotions of the driver of the current driving vehicle, or reminding the driver of the current driving vehicle to pay attention to the driving emotions of surrounding vehicles.

[0161] It can be understood that the voice prompt can also broadcast driving suggestions to the driver of the current driving vehicle, including providing the driver of the current driving vehicle with a suggested driving lane and a suggested driving route.

[0162] When the driving prompt is an image prompt, the vehicle system 10 can display a driving prompt on the display interface of the current driving vehicle based on the vehicle emotion information, including flashing a red prompt on the edge of the display interface to prompt the driver to pay attention to safety, displaying a recommended lane and a recommended route, the recommended lane can avoid vehicles with angry driving emotions, and the recommended route can bypass vehicles with angry driving emotions.

[0163] In a possible implementation, if the current driving vehicle is in an automatic driving mode or an assisted driving mode, the vehicle system 10 adjusts the driving state of the vehicle according to the danger level, and the adjustment of the driving state of the vehicle includes one or more of the following: adjusting the driving mode, increasing or decreasing the cruise speed, changing the lane, and adjusting the route planning. Among them, adjusting the driving mode includes adjusting the automatic driving level or prompting the driver to take over, and the automatic driving level is, for example, L0 to L5.

[0164] For example, the current driving vehicle is in an automatic driving state, the vehicle system 10 detects that the driving emotion of the vehicle in the left lane in front is angry, and the emotion diffusion direction is the direction close to the current driving vehicle, then the vehicle system 10 can reduce the vehicle speed and change the lane to the right, thereby avoiding the vehicle with angry driving emotions.

[0165] It can be understood that in the automatic driving scenario, the vehicle system 10 can also broadcast a voice for adjusting the driving state of the vehicle through a voice assistant, and prompt the driver to be ready to take over at any time to deal with unexpected situations.

[0166] In a possible implementation, after the vehicle system 10 generates the vehicle emotion information based on the surrounding environment information, the vehicle system 10 can also provide driving prompts to other vehicles based on the vehicle emotion information, the other vehicles including vehicles within the driving emotion diffusion range and vehicles outside the driving emotion diffusion range, for example, the vehicle system 10 interacts with other vehicles through vehicle lights, projection devices, etc., thereby prompting the vehicles outside the driving emotion diffusion range to pay attention to avoid, or soothing the vehicles within the driving emotion diffusion range.

[0167] In a possible implementation, the vehicle system 10 can continuously detect the driving emotion and emotion diffusion of the surrounding vehicles, and can report the diffusion source, diffusion order and diffusion time of the driving emotion and the like to the cloud device, so that the cloud device can give a warning for possible traffic accidents.

[0168] As can be seen from the above embodiments, the vehicle system in the embodiments of the present application can analyze the vehicle emotion information of the surrounding vehicles based on the surrounding environment information collected by the vehicle, and mark the vehicle emotion information in the display interface of the current driving vehicle, so as to prompt the current driving vehicle to pay attention to the driving emotion and emotion diffusion of the surrounding vehicles, and improve the driving safety of the vehicle.

[0169] Based on the above method embodiments, the embodiments of the present application also provide a display device for information.

[0170] Please refer to FIG. 11, which is a structural schematic diagram of a display device for information provided by the embodiments of the present application. In the example shown in FIG. 11, the display device for information 1100 is used to implement each step performed by the information display system in each of the above embodiments, and the display device for information 1100 includes a collection unit 1101, a processing unit 1102 and a display unit 1103.

[0171] The collection unit 1101 is configured to collect the surrounding environment information of the current driving vehicle, and the surrounding environment information is used to indicate the driving state of one or more vehicles around the current driving vehicle. The processing unit 1102 is configured to generate vehicle emotion information based on the surrounding environment information, and the vehicle emotion information is used to indicate one or more of the following contents of one or more vehicles around the current driving vehicle: driving emotion and emotion diffusion, and the emotion diffusion includes one or more of the following: emotion diffusion speed, emotion diffusion direction and emotion diffusion range. The display unit 1103 is configured to mark the vehicle emotion information in the display interface of the current driving vehicle.

[0172] In a possible implementation, the display unit 1103 is specifically configured to mark the vehicle emotion information in the display interface of the current driving vehicle in one or more of the following ways: marking a vehicle model in a vehicle modeling diagram of the current driving vehicle based on the vehicle emotion information, marking a driving scene in a heads-up display (HUD) of the current driving vehicle based on the vehicle emotion information, and marking a driving picture in a real-time video stream of the current driving vehicle based on the vehicle emotion information.

[0173] In a possible implementation, the processing unit 1102 is further configured to determine the danger degree of the current driving vehicle based on the vehicle emotion information, and the danger degree is used to indicate the probability of traffic accidents of the current driving vehicle.

[0174] In a possible implementation, the processing unit 1102 is specifically configured to determine that the current driving vehicle is dangerous when the vehicle emotion information satisfies a dangerous determination condition, and the dangerous determination condition includes one or more of the following: the emotion diffusion direction is close to the current driving vehicle, a distance between the emotion diffusion range and the current driving vehicle is less than a distance threshold, or an emotion diffusion speed is greater than a speed threshold.

[0175] In a possible implementation, the processing unit 1102 is further configured to provide a driving prompt according to the dangerous degree when the current driving vehicle is in a manual driving mode, and the driving prompt includes a voice prompt and an image prompt.

[0176] In a possible implementation, the driving prompt is an image prompt, and the display unit 1103 is specifically configured to display a recommended lane on a display interface of the current driving vehicle based on the vehicle emotion information, and the recommended lane is used to avoid a vehicle with road rage.

[0177] In a possible implementation, the processing unit 1102 is further configured to adjust a driving state of the current driving vehicle according to the dangerous degree when the current driving vehicle is in an automatic driving mode or an assisted driving mode, and the adjusting the driving state of the current driving vehicle includes one or more of the following: adjusting a driving mode, increasing or decreasing a cruise speed, changing a lane, and adjusting a route plan.

[0178] In a possible implementation, the surrounding environment information includes vehicle behavior information, and the processing unit 1102 is specifically configured to determine driving emotions of one or more vehicles around the current driving vehicle based on the vehicle behavior information, and the vehicle behavior information includes road rage behavior, and the road rage behavior includes one or more of the following: honking, flashing a light, sudden acceleration or deceleration, and sudden lane changing.

[0179] In a possible implementation, the surrounding environment information further includes vehicle dynamic information, and the processing unit 1102 is specifically configured to determine an emotion diffusion situation of one or more vehicles around the current driving vehicle according to the vehicle dynamic information, and the vehicle dynamic information includes one or more of the following: a vehicle position, a vehicle speed, and a vehicle acceleration or deceleration.

[0180] In a possible implementation, the display unit 1103 is specifically configured to mark vehicle emotions on a display interface of the current driving vehicle based on different emotion marking manners, and a set of the different emotion marking manners has a mapping relationship with a set of emotions of the vehicle emotions.

[0181] In a possible implementation, the display unit 1103 is specifically configured to mark an emotion diffusion direction and an emotion diffusion range on a display interface of the current driving vehicle based on the emotion diffusion situation.

[0182] In a possible implementation, the display unit 1103 is further configured to mark the diffusion direction of the first vehicle to the second vehicle on the display interface of the current vehicle based on the direction marker when the emotion diffusion direction indicates that the emotion diffuses from the first vehicle to the second vehicle.

[0183] In a possible implementation, the display unit 1103 is further configured to cancel the marking of the at least one vehicle on the display interface of the vehicle when the at least one vehicle around the vehicle meets an emotion falling condition, and the emotion falling condition includes that the road rage behavior does not occur within an emotion falling time.

[0184] It can be understood that the collection unit 1101, the processing unit 1102, and the display unit 1103 in the information display device 1100 can be mapped to the modules in the vehicle system 10 in FIG. 1 as functional modules, so as to realize the functions of the modules in the vehicle system 10.

[0185] It should be understood that the division of the units in the above device is only a logical functional division, and all or part of the units can be integrated into one physical entity, or can be physically separated. The units in the device can all be implemented in the form of software called by a processing element; or all be implemented in the form of hardware; or part of the units are implemented in the form of software called by a processing element, and part of the units are implemented in the form of hardware. For example, each unit can be a separately established processing element, or can be integrated in a chip of the device, and in addition, the units can be stored in the form of programs in a memory and called and executed by a processing element of the device. In addition, all or part of the units can be integrated together or independently implemented. The processing element described herein can be a processor, which can be an integrated circuit with a signal processing capability. In the implementation process, each step of the above method or each unit can be implemented by an integrated logic circuit of hardware in the processing element or in the form of software called by the processing element.

[0186] It should be noted that, for the above method embodiments, in order to simply describe, all are described as a series of action combinations, but those skilled in the art should know that the present application is not limited to the action sequence described, and those skilled in the art should know that the embodiments described in the specification all belong to preferred embodiments, and the actions involved are not necessarily necessary for the present application.

[0187] Other reasonable step combinations that can be thought of by those skilled in the art according to the above description also belong to the protection scope of the present application. In addition, those skilled in the art should know that the embodiments described in the specification all belong to preferred embodiments, and the actions involved are not necessarily necessary for the present application.

[0188] Referring to FIG. 12, FIG. 12 is a structural diagram of a vehicle-mounted device provided by an embodiment of the present application. As shown in FIG. 12, the vehicle-mounted device 1200 includes a processor 1201, a memory 1202, a communication interface 1203, and a bus 1204. The processor 1201, the memory 1202, and the communication interface 1203 are coupled through the bus (not shown in the figure). The memory 1202 stores instructions. When the instructions in the memory 1202 are executed, the vehicle-mounted device 1200 performs the method performed by the information display system in the above method embodiments.

[0189] The vehicle-mounted device 1200 can be one or more integrated circuits configured to implement the above method, for example, one or more application specific integrated circuits (ASICs), or one or more digital signal processors (DSPs), or one or more field programmable gate arrays (FPGAs), or a combination of at least two of these integrated circuit forms. For another example, when the units in the device can be implemented in the form of a processing element scheduler, the processing element can be a general-purpose processor, for example, a central processing unit (CPU) or other processor that can call a program. For another example, these units can be integrated together to be implemented in the form of a system-on-a-chip (SOC).

[0190] The processor 1201 can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs) or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. The general-purpose processor can be a microprocessor, or any conventional processor.

[0191] The memory 1202 can be a volatile memory or a nonvolatile memory, or can include both volatile and nonvolatile memory. Among them, the nonvolatile memory can be a read-only memory (ROM), a programmable ROM (PROM), an erasable PROM (EPROM), an electrically EPROM (EEPROM), or a flash memory. The volatile memory can be a random access memory (RAM) used as an external cache. By way of example, and not limitation, many forms of RAM can be used, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous dynamic RAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchlink DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0192] The executable program code stored in the memory 1202 is executed by the processor 1201 to respectively implement the functions of the aforementioned units or modules, thereby implementing the information display method described above. That is, the memory 1202 has instructions for executing the information display method described above.

[0193] The communication interface 1203 uses a transceiving module such as, but not limited to, a network interface card, a transceiver, to implement communication between the vehicle-mounted device 1200 and other devices or communication networks.

[0194] Bus 1204 can include, in addition to a data bus, a power bus, a control bus, and a state signal bus. The bus can be a peripheral component interconnect express (PCIe) bus, or an extended industry standard architecture (EISA) bus, a unified bus (Ubus or UB), a compute express link (CXL), a cache coherent interconnect for accelerators (CCIX), etc. The bus can be divided into an address bus, a data bus, a control bus, etc.

[0195] Referring to FIG. 13, FIG. 13 is a schematic diagram of a vehicle according to an embodiment of the present application. As shown in FIG. 13, the vehicle 1300 includes at least one vehicle-mounted device 1200. The same instructions for performing the display method of information described above can be stored in the memory 1202 of one or more vehicle-mounted devices 1200 in the vehicle 1300.

[0196] In some possible implementation manners, part of the instructions for performing the display method of information described above can also be stored in the memory 1202 of one or more vehicle-mounted devices 1200 in the vehicle 1300, respectively. In other words, the combination of one or more vehicle-mounted devices 1200 can collectively perform the instructions for performing the display method of information described above.

[0197] It should be noted that the memory 1202 in different vehicle-mounted devices 1200 in the vehicle 1300 can store different instructions, respectively, for performing part of the functions of the display device of information described above. That is, the instructions stored in the memory 1202 in different vehicle-mounted devices 1200 can implement the functions of one or more modules in the acquisition unit, the processing unit, and the display unit.

[0198] In some possible implementation manners, one or more vehicle-mounted devices 1200 in the vehicle 1300 can be connected through a network. The network can be a wide area network or a local area network, etc.

[0199] In another embodiment of the present application, a computer readable storage medium is also provided, and the computer readable storage medium stores computer execution instructions. When the processor of the device executes the computer execution instructions, the device performs the method performed by the display system of the road vehicle emotion in the method embodiment described above.

[0200] In another embodiment of the present application, a computer program product is also provided, which includes computer-executable instructions stored in a computer-readable storage medium. When the processor of the device executes the computer-executable instructions, the device executes the method performed by the display system of road vehicle emotion in the above-mentioned method embodiments.

[0201] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-mentioned system, device and unit can refer to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

[0202] In several embodiments provided in the present application, it should be understood that the disclosed system, device and method can be implemented in other ways. For example, the above-mentioned device embodiments are only schematic, for example, the division of the units is only a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0203] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the present embodiment scheme.

[0204] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0205] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, read-only memory), a random access memory (RAM, random access memory), a magnetic disk or an optical disk, and various media that can store program codes.

Claims

1. A display method of information, characterized by, The method comprises: Collecting surrounding environment information of a vehicle, the surrounding environment information being used to indicate driving states of one or more vehicles around the vehicle; Generating vehicle emotion information based on the surrounding environment information, the vehicle emotion information being used to indicate one or more of the following: driving emotions and emotion diffusion situations of the one or more vehicles around the vehicle, the emotion diffusion situations including one or more of the following: emotion diffusion speed, emotion diffusion direction and emotion diffusion range; Displaying a mark of the vehicle emotion information on a display interface of the vehicle.

2. The method of claim 1, wherein, The displaying of the mark of the vehicle emotion information on the display interface of the vehicle includes one or more of the following: displaying a mark of a vehicle model of the one or more vehicles around the vehicle in a vehicle modeling map of the vehicle based on the vehicle emotion information, displaying a mark of a real driving scene in a heads-up display (HUD) area of the vehicle based on the vehicle emotion information, and displaying a mark of the real driving scene in a real-time video stream of the vehicle based on the vehicle emotion information.

3. The method according to claim 1 or 2, characterized in that, The method comprises: Determining a danger degree of the vehicle based on the vehicle emotion information, the danger degree being used to indicate a probability of the vehicle having a traffic accident.

4. The method of claim 3, wherein, The determining of the danger degree of the vehicle based on the vehicle emotion information includes: When the vehicle emotion information satisfies a danger determination condition, determining that the vehicle is dangerous, the danger determination condition including one or more of the following: the emotion diffusion direction being close to the vehicle, a distance between the emotion diffusion range and the vehicle being less than a distance threshold, or the emotion diffusion speed being greater than a speed threshold.

5. The method according to claim 3 or 4, characterized in that, After the determining of the danger degree of the vehicle based on the vehicle emotion information, the method further comprises: When the vehicle is in a manual driving mode, providing a driving prompt according to the danger degree, the driving prompt including a voice prompt and / or an image prompt.

6. The method of claim 5, wherein, When the driving prompt is an image prompt, the method further comprises: Displaying a recommended lane on a display interface of the vehicle based on the vehicle emotion information, the recommended lane being used to avoid a vehicle with road rage.

7. The method according to claim 3 or 4, characterized in that, The method further comprises: When the vehicle is in an automatic driving mode or an assisted driving mode, adjusting a driving state of the vehicle according to the danger degree, the adjusting of the driving state of the vehicle including one or more of the following: adjusting a driving mode, increasing or decreasing a cruise speed, changing a lane, and adjusting a route planning.

8. The method according to any one of claims 1 to 7, characterized in that, The surrounding environment information includes vehicle behavior information, and the generating of the vehicle emotion information based on the surrounding environment information includes: When the vehicle behavior information includes a road rage behavior, determining that the driving emotion of the one or more vehicles is anger, the road rage behavior including one or more of the following: honking, flashing a light, sudden acceleration or deceleration, and sudden lane changing.

9. The method according to any one of claims 1 to 8, characterized in that, The surrounding environment information further includes vehicle dynamic information, and the generating of the vehicle emotion information based on the surrounding environment information further includes: Determining the emotion diffusion situations of the one or more vehicles around the vehicle according to the vehicle dynamic information, the vehicle dynamic information including one or more of the following: vehicle position, vehicle speed, and vehicle acceleration or deceleration.

10. The method according to any one of claims 1 to 9, characterized in that, The marking of the vehicle emotion information on the display interface of the vehicle includes: The vehicle emotion is marked on a display interface of the vehicle based on different emotion marking manners, and a set of the different emotion marking manners has a mapping relationship with a set of emotions of the vehicle emotion.

11. The method according to any one of claims 1 to 10, characterized in that, The marking of the vehicle emotion information on the display interface of the vehicle includes: The emotion diffusion direction and the emotion diffusion range are marked on the display interface of the vehicle based on the emotion diffusion situation.

12. The method of claim 11, wherein, The method further includes: When the emotion diffusion direction indicates that the emotion diffuses from a first vehicle to a second vehicle, a direction marking symbol is marked on the display interface of the vehicle to indicate the diffusion direction of the first vehicle to the second vehicle. The method further includes:

13. The method according to any one of claims 8 to 12, characterized in that, When at least one vehicle around the vehicle meets an emotion falling condition, marking of the at least one vehicle on the display interface of the vehicle is canceled, and the emotion falling condition includes that the road rage behavior does not occur within an emotion falling time. It includes:

14. An emotional display device, characterized by, A collection unit is configured to collect surrounding environment information of a vehicle, and the surrounding environment information is used to indicate driving states of one or more vehicles around the vehicle; A processing unit is configured to generate vehicle emotion information based on the surrounding environment information, and the vehicle emotion information is used to indicate one or more of the following: driving emotions and emotion diffusion situations of the one or more vehicles around the vehicle, and the emotion diffusion situation includes one or more of the following: emotion diffusion speed, emotion diffusion direction and emotion diffusion range; A display unit is configured to display marking of the vehicle emotion information on a display interface of the vehicle. The marking of the vehicle emotion information on the display interface of the vehicle includes one or more of the following: marking of a vehicle model based on the vehicle emotion information on a vehicle modeling map of the vehicle, marking of a driving scene based on the vehicle emotion information on a heads-up display (HUD) area of the vehicle, and marking of the driving scene based on the vehicle emotion information on a real-time video stream of the vehicle.

15. The apparatus of claim 14, wherein, The processing unit is further configured to:

16. The apparatus of claim 14 or 15, wherein, Determine a danger level of the vehicle based on the vehicle emotion information, and the danger level is used to indicate a probability of a traffic accident of the vehicle. The processing unit is specifically configured to:

17. The apparatus of claim 16, wherein, When the vehicle emotion information meets a danger determination condition, determine that the vehicle is dangerous, and the determination condition includes one or more of the following: the emotion diffusion direction is close to the vehicle, a distance between the emotion diffusion range and the vehicle is less than a distance threshold, or the emotion diffusion speed is greater than a speed threshold. The processing unit is further configured to:

18. The apparatus of claim 16 or 17, wherein, When the vehicle is in an artificial driving mode, provide a driving prompt according to the danger level, and the driving prompt includes a voice prompt and / or an image prompt. When the driving prompt is an image prompt, the display unit is specifically configured to:

19. The apparatus of claim 18, wherein Display a recommended lane on the display interface of the vehicle based on the vehicle emotion information, and the recommended lane is used to avoid a vehicle with road rage. The processing unit is further configured to:

20. The apparatus of claim 16 or 17, wherein, ​ When the vehicle is in an autonomous driving mode or an assisted driving mode, adjusting a driving state of the vehicle according to the risk level, the adjusting the driving state of the vehicle comprising one or more of the following: adjusting a driving mode, increasing or decreasing a cruise speed, changing a lane, and modifying a route plan.

21. The apparatus of any one of claims 14-20, wherein, The surrounding environment information comprises vehicle behavior information, and the processing unit is specifically configured to: When the vehicle behavior information comprises road rage behavior, determining that a driving emotion of the one or more vehicles is anger, the road rage behavior comprising one or more of the following: honking, flashing a light, sudden acceleration or deceleration, and sudden lane changing.

22. The apparatus of any one of claims 14-21, wherein, The surrounding environment information further comprises vehicle dynamic information, and the processing unit is specifically configured to: According to the vehicle dynamic information, determining an emotion diffusion situation of the one or more vehicles around the current driving vehicle, the vehicle dynamic information comprising one or more of the following: a vehicle position, a vehicle speed, and a vehicle acceleration or deceleration.

23. The apparatus of any of claims 14 to 22, wherein, The display unit is specifically configured to: Based on different emotion marking manners, marking the vehicle emotion on a display interface of the vehicle, a set of the different emotion marking manners having a mapping relationship with a set of emotions of the vehicle emotion.

24. The apparatus of any of claims 14 to 23, wherein, The display unit is specifically configured to: Based on the emotion diffusion situation, marking an emotion diffusion direction and an emotion diffusion range on the display interface of the vehicle.

25. The apparatus of claim 24, wherein, The display unit is further configured to: When the emotion diffusion direction indicates that emotion diffuses from a first vehicle to a second vehicle, based on a direction marker, marking on the display interface of the vehicle that the first vehicle points to the diffusion direction of the second vehicle.

26. The apparatus of any one of claims 21-25, wherein, The display unit is further configured to: When at least one vehicle around the vehicle meets an emotion back-off condition, canceling the marking of the at least one vehicle on the display interface of the vehicle, the emotion back-off condition comprising that the road rage behavior does not occur within an emotion back-off time.

27. An in-vehicle device characterized by comprising: A processor coupled with a memory, the processor configured to store instructions that, when executed by the processor, cause the vehicle device to perform any one of the methods of claims 1-13.

28. A vehicle characterized by At least one vehicle device, the vehicle device comprising a processor coupled with a memory, the processor configured to store instructions that, when executed by the processor, cause the vehicle to perform any one of the methods of claims 1-13.

29. A computer-readable storage medium having stored thereon instructions, The instructions, when executed, cause a computer to perform any one of the methods of claims 1-13.

30. A computer program product, comprising instructions therein, characterised in that, The instructions, when executed, cause a computer to implement any one of the methods of claims 1-13.

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