Method and device for controlling interaction between vehicles and vehicle

Abstract

The invention discloses an interaction control method and device between vehicles and a vehicle, and belongs to the technical field of vehicle control, the interaction control method between the vehicles is applied to the vehicle, and the interaction control method between the vehicles comprises the following steps: obtaining historical approaching frequency and historical interaction duration with a target vehicle; obtaining the driving behavior and driving emotion of a driver when the vehicle moves relative to the target vehicle; determining a relationship category between the vehicle and the target vehicle according to multiple of the historical approaching frequency, the historical interaction duration, the driving behavior and the driving emotion; and interacting with the target vehicle according to the relationship category. According to the scheme, based on the relationship category between the vehicle and the target vehicle, interaction between the vehicle and the target vehicle is realized, and more intelligent, personalized and emotional interaction experience is provided.

Description

Technical Field

[0001] This application belongs to the technical field of vehicle control, and particularly relates to an interactive control method, device, and vehicle for vehicles. Background Art

[0002] With the rapid development of artificial intelligence and Internet of Things technologies, the intelligence level of automobiles has been increasing day by day. However, the current interaction between vehicles mainly focuses on exchanging driving information levels, such as speed, position, braking state, etc., lacking interaction based on the associated relationship level between vehicles, resulting in a poor interaction experience for users. Summary of the Invention

[0003] Embodiments of the present application provide an interactive control method, device, and equipment for vehicles, which can, to at least a certain extent, realize the interaction between a vehicle and a target vehicle based on the relationship category between the vehicle and the target vehicle, providing a more intelligent, personalized, and emotional interaction experience.

[0004] Other features and advantages of the present application will become apparent through the following detailed description, or will be partially learned through the practice of the present application.

[0005] According to the first aspect of the embodiments of the present application, an interactive control method for vehicles is provided, which is applied to a vehicle and includes:

[0006] Obtain the historical proximity frequency and historical interaction duration with the target vehicle;

[0007] Obtain the driving behavior and driving emotion of the driver when moving relative to the target vehicle;

[0008] Determine the relationship category between the vehicle and the target vehicle according to multiple ones of the historical proximity frequency, historical interaction duration, driving behavior, and driving emotion;

[0009] Interact with the target vehicle according to the relationship category.

[0010] In some embodiments, the driving behavior includes historical driving behavior and current driving behavior, and the driving emotion includes historical driving emotion and current driving emotion. Determining the relationship category between the vehicle and the target vehicle according to multiple ones of the historical proximity frequency, historical interaction duration, driving behavior, and driving emotion includes:

[0011] Determine the initial relationship category between the vehicle and the target vehicle according to the historical proximity frequency, historical interaction duration, historical driving behavior, and historical driving emotion;

[0012] Judge whether the emotional feedback of the driver has changed according to the historical driving behavior, historical driving emotion, current driving behavior, and current driving emotion;

[0013] In the case where the emotional feedback changes, determine the target relationship category between the vehicle and the target vehicle according to the historical proximity frequency, historical interaction duration, current driving behavior, and current driving emotion.

[0014] In some embodiments, determining the target relationship category between the vehicle and the target vehicle according to the historical proximity frequency, historical interaction duration, current driving behavior, and current driving emotion includes:

[0015] Determine the change trend of the proximity frequency according to the historical proximity frequency;

[0016] Determine the change trend of the interaction duration according to the historical interaction duration;

[0017] Determine the target relationship category between the vehicle and the target vehicle according to the change trend of the proximity frequency, the change trend of the interaction duration, the current driving behavior, and the current driving emotion.

[0018] In some embodiments, determining the target relationship category between the vehicle and the target vehicle according to the change trend of the proximity frequency, the change trend of the interaction duration, the current driving behavior, and the current driving emotion includes:

[0019] When the change trend of the proximity frequency is increasing, the change trend of the interaction duration is increasing, the current driving behavior is a driving behavior representing comfort, and the current driving emotion is a driving emotion representing relaxation, determine that the target relationship category between the vehicle and the target vehicle is an intimate relationship.

[0020] In some embodiments, the interactive control method between vehicles further includes:

[0021] Display the target relationship category on the vehicle's human-machine interface and / or head-up display system.

[0022] In some embodiments, interacting with the target vehicle according to the relationship category includes:

[0023] Determine the interaction information corresponding to the relationship category;

[0024] Interact with the target vehicle according to the interaction information.

[0025] In some embodiments, the interactive control method between vehicles further includes:

[0026] Determine the driving behavior according to one or more of the speed control operation, brake control operation, and steering wheel control operation;

[0027] Determine the driving emotion according to one or more of the driver's physiological data, facial expressions, and voice data.

[0028] According to the second aspect of the embodiments of the present application, there is provided an interactive control device between vehicles, which is applied to a vehicle and includes:

[0029] A data acquisition module, configured to acquire the historical proximity frequency and historical interaction duration of the target vehicle;

[0030] The data acquisition module is further configured to acquire the driving behavior and driving emotion of the driver when moving relative to the target vehicle;

[0031] A vehicle relationship determination module, configured to determine the relationship category between the vehicle and the target vehicle according to multiple factors among the historical proximity frequency, historical interaction duration, driving behavior, and driving emotion;

[0032] A vehicle interaction control module, configured to interact with the target vehicle according to the relationship category.

[0033] According to the third aspect of the embodiments of the present application, a vehicle is provided, including a processor and a memory. The memory stores computer program instructions that can be executed by the processor. When the processor executes the computer program instructions, the steps of the method according to any one of the first aspects described above are implemented.

[0034] According to the fourth aspect of the embodiments of the present application, a computer-readable storage medium is provided. The computer-readable storage medium stores computer program instructions. When the computer program instructions are executed by the processor, the processor is caused to implement the steps of the method according to any one of the first aspects described above.

[0035] In the present application,

[0036] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The accompanying drawings herein are incorporated into the specification and form a part of the specification, showing embodiments consistent with the present application, and are used together with the specification to explain the principles of the present application. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts. In the drawings:

[0038] Figure 1 A flowchart showing the interaction control method between vehicles according to some embodiments of the present application;

[0039] Figure 2 A block diagram showing the interaction control device between vehicles according to some embodiments of the present application;

[0040] Figure 3 A structural diagram showing a vehicle according to some embodiments of the present application. DETAILED DESCRIPTION

[0041] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative efforts shall fall within the protection scope of the present application.

[0042] In addition, the described features, structures or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, many specific details are provided to give a thorough understanding of the embodiments of the present application. However, those skilled in the art will realize that the technical solutions of the present application can be practiced without one or more of the specific details, or other methods, components, devices, steps, etc. may be used. In other cases, well-known methods, devices, implementations or operations are not shown or described in detail to avoid obscuring aspects of the present application.

[0043] The block diagrams shown in the accompanying drawings are only functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities can be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0044] The flowcharts shown in the accompanying drawings are only illustrative and do not necessarily include all the content and operations / steps, nor do they necessarily need to be executed in the described order. For example, some operations / steps can be decomposed, while some operations / steps can be combined or partially combined, so the actual execution order may change according to the actual situation.

[0045] Figure 1 The flowchart showing the method for interactive control between vehicles according to some embodiments of the present application is shown. As Figure 1 shown, a method for interactive control between vehicles is provided, which is applied to a vehicle. The method may include the following steps 101 to 104.

[0046] In step 101, obtain the historical proximity frequency and historical interaction duration with the target vehicle.

[0047] For the convenience of distinction, the execution entity of steps 101 to 104 is referred to as the current vehicle, and the target vehicle refers to the vehicle that needs to interact with the current vehicle. The target vehicle may be a vehicle familiar with the current vehicle or a vehicle not familiar with the current vehicle.

[0048] Among them, the historical approach frequency refers to the approach frequency between the current vehicle and the target vehicle before the current moment. In the implementation process, the current vehicle can use on-vehicle sensors to detect whether the target vehicle approaches the current vehicle within a preset time period, calculate the number of times the target vehicle approaches the current vehicle, and then calculate the historical approach frequency based on the number of times the target vehicle approaches the current vehicle.

[0049] The historical interaction duration refers to the interaction duration between the current vehicle and the target vehicle before the current moment. For example, the parking duration when the current vehicle and the target vehicle approach each other. In the implementation process, the current vehicle can record the interaction duration between the current vehicle and the target vehicle within a preset time period to obtain the historical interaction duration.

[0050] In step 102, obtain the driving behavior and driving emotion of the driver when moving relative to the target vehicle.

[0051] It can be understood that the relative movement can refer to the same-direction movement or the opposite-direction movement, and the embodiments of the present application do not limit this. In the implementation process, the current vehicle can use on-vehicle sensors to detect one or more of the acceleration / deceleration operation, brake control operation, and steering wheel control operation of the driver, and determine the driving behavior based on one or more of the acceleration / deceleration operation, brake control operation, and steering wheel control operation. The driving behavior can be a driving behavior used to represent comfort or smoothness, or a driving behavior used to represent tension or defensiveness. Of course, the driving behavior can also be further divided into more categories, and the embodiments of the present application do not limit this.

[0052] In the implementation process, the driving behavior can be determined only based on the acceleration / deceleration operation, brake control operation, or steering wheel control operation, can be determined based on the acceleration / deceleration operation and brake control operation, can be determined based on the brake control operation or steering wheel control operation, can be determined based on the acceleration / deceleration operation and brake control operation, or can also be determined based on the acceleration / deceleration operation, brake control operation, and steering wheel control operation.

[0053] For example, if the driver frequently performs emergency braking, acceleration operations, or frequently turns the steering wheel when the current vehicle and the target vehicle are moving relative to each other, it can be considered that the driver's driving behavior is a driving behavior representing tension or defensiveness; otherwise, it can be considered that the driver's driving behavior is a driving behavior representing comfort or smoothness.

[0054] The current vehicle can use on-vehicle cameras to obtain the facial expressions of the driver, use physiological sensing devices to detect the physiological data of the driver, such as heart rate, galvanic skin response and other data, use audio collection devices to collect the voice data of the driver, and determine the driving emotion according to one or more of the physiological data, facial expressions, and voice data. The driving emotion can be a driving emotion used to represent relaxation, or a driving emotion used to represent avoidance or anger. Of course, the driving emotion can also be further divided into more categories, which are not limited in the embodiments of the present application.

[0055] Image recognition algorithms can be used to recognize the facial expressions of the driver, and voice recognition algorithms can be used to recognize the voice data of the driver. The embodiments of the present application do not limit the image recognition algorithms and voice recognition algorithms.

[0056] In the implementation process, the driving emotion can be determined using physiological data, facial expressions, or voice data; the driving emotion can be determined using physiological data and facial expressions; the driving emotion can be determined using physiological data and voice data; the driving emotion can be determined using facial expressions and voice data; or the driving emotion can be determined using physiological data, facial expressions, and voice data.

[0057] For example, if when the current vehicle is moving relative to the target vehicle, the driver's facial expression remains distorted for a long time, the driver's heart rate remains high for a long time, or the driver expresses dislike for the target vehicle through voice, it can be considered that the driver's driving emotion is an angry driving emotion. If the driver expresses love for the target vehicle through voice, it can be considered that the driver's driving emotion is a relaxed driving emotion.

[0058] In step 103, the relationship category between the vehicle and the target vehicle is determined according to multiple factors among the historical approach frequency, historical interaction duration, driving behavior, and driving emotion.

[0059] Among them, the relationship category can be classified according to the emotional intensity between the current vehicle and the target vehicle, and can be: stranger relationship, intimate relationship, hostile relationship, etc.

[0060] In the implementation process, the current vehicle can determine the relationship category between the current vehicle and the target vehicle based on the historical proximity frequency and historical interaction duration; can determine the relationship category between the current vehicle and the target vehicle based on the historical proximity frequency and driving behavior; can determine the relationship category between the current vehicle and the target vehicle based on the historical proximity frequency and driving mood; can determine the relationship category between the current vehicle and the target vehicle based on the historical interaction duration and driving behavior; can determine the relationship category between the current vehicle and the target vehicle based on the historical interaction duration and driving mood; can determine the relationship category between the current vehicle and the target vehicle based on the driving behavior and driving mood; can determine the relationship category between the current vehicle and the target vehicle based on the historical proximity frequency, historical interaction duration and driving behavior; can determine the relationship category between the current vehicle and the target vehicle based on the historical proximity frequency, historical interaction duration and driving mood; can determine the relationship category between the current vehicle and the target vehicle based on the historical proximity frequency, driving behavior and driving mood; and can also determine the relationship category between the current vehicle and the target vehicle based on the historical proximity frequency, historical interaction duration, driving behavior and driving mood.

[0061] It can be understood that if the historical proximity frequency between the current vehicle and the target vehicle is high, it can indicate that there are more interactions or connections between the current vehicle and the target vehicle; if the historical interaction duration between the current vehicle and the target vehicle is long, it can indicate that the driver of the current vehicle has more attention or emotional connection with the target vehicle; if the driving behavior of the driver of the current vehicle is a driving behavior characterized by comfort, and / or, the driving mood of the driver of the current vehicle is a driving mood characterized by relaxation, it can indicate that the driver of the current vehicle has a relatively friendly emotion towards the target vehicle; if the driving behavior of the driver of the current vehicle is a driving behavior characterized by tension or defensiveness, and / or, the driving mood of the driver of the current vehicle is a driving mood characterized by avoidance or anger, it indicates that the driver of the current vehicle has an unfriendly emotion towards the target vehicle. Therefore, the relationship category between the vehicle and the target vehicle can be determined based on multiple ones of the historical proximity frequency, historical interaction duration, driving behavior and driving mood.

[0062] In step 104, interact with the target vehicle according to the relationship category.

[0063] Taking the relationship category between the current vehicle and the target vehicle being an intimate relationship as an example, the interaction between the current vehicle and the target vehicle can be: the lights of the current vehicle and the target vehicle flash synchronously, the sound effects are played simultaneously, or when the driver uses these two vehicles, the seats and steering wheels of the two vehicles are adjusted synchronously, or warm sound effects are played, the seat position is adjusted or the seat massage function is activated to enhance the driver's emotional experience.

[0064] Taking the example that the relationship category between the current vehicle and the target vehicle is a hostile relationship, the interaction between the current vehicle and the target vehicle can be: sending a warning prompt to the target vehicle, adjusting the sound effect of the current vehicle to a more tense tone, and even increasing the seat vibration feedback of the current vehicle, etc., to enhance the driver's alertness.

[0065] After determining the relationship category, the current vehicle can determine the interaction information corresponding to the relationship category; and interact with the target vehicle according to the interaction information.

[0066] Among them, the interaction information can be information such as lighting effects, sound effects, voice prompts, seat vibrations, etc.

[0067] In the implementation process, the current vehicle can look up the interaction information corresponding to the relationship category in a preset mapping relationship table, or input the relationship category into a preset model, and the preset model outputs the interaction information. The current vehicle can also determine the interaction information corresponding to the relationship category in other ways, and the embodiments of the present application do not limit this.

[0068] Of course, the driver of the current vehicle can also directly manually adjust the relationship category and interaction information on the in-vehicle human-machine interface or mobile application, so that the driver can change the interaction information at any time according to personal emotional needs, further enhancing the personalized experience.

[0069] In addition, the vehicle can also use the AI algorithm to learn the driver's emotional preferences and change rules according to the driver's manual adjustment data, and accordingly optimize the relationship classification and interaction information between the current vehicle and the target vehicle in the future, so as to better adapt to the personalized needs of the driver.

[0070] In the embodiments of the present application, by obtaining the historical approach frequency and historical interaction duration with the target vehicle; obtaining the driving behavior and driving emotion of the driver when moving relative to the target vehicle; determining the relationship category between the vehicle and the target vehicle according to multiple ones of the historical approach frequency, historical interaction duration, driving behavior and driving emotion; and interacting with the target vehicle according to the relationship category. The above solution realizes the interaction between the vehicle and the target vehicle based on the relationship category between the vehicle and the target vehicle, and provides a more intelligent, personalized and emotional interaction experience.

[0071] In some embodiments, the driving behavior includes historical driving behavior and current driving behavior, the driving emotion includes historical driving emotion and current driving emotion, and determining the relationship category between the vehicle and the target vehicle according to multiple ones of the historical approach frequency, historical interaction duration, driving behavior and driving emotion may include the following steps:

[0072] Step 1031, determining the initial relationship category between the vehicle and the target vehicle according to the historical approach frequency, historical interaction duration, historical driving behavior and historical driving emotion;

[0073] Step 1032: Determine whether the emotional feedback of the driver has changed based on the historical driving behavior, historical driving emotion, current driving behavior, and current driving emotion.

[0074] Step 1033: In the case where the emotional feedback has changed, determine the target relationship category between the vehicle and the target vehicle based on the historical approach frequency, historical interaction duration, current driving behavior, and current driving emotion.

[0075] Herein, the current driving behavior refers to the driving behavior of the driver at the current moment, and the historical driving behavior refers to the driving behavior of the driver before the current moment; the current driving emotion refers to the driving emotion of the driver at the current moment, and the historical driving emotion refers to the driving emotion of the driver before the current moment.

[0076] It can be understood that the relationship category between the current vehicle and the target vehicle will change continuously with the changes in the approach frequency, interaction duration, driving behavior, and driving emotion. For example, it can change from a strange relationship to an intimate relationship, from an intimate relationship to a strange relationship, from an intimate relationship to a hostile relationship, or from a hostile relationship to an intimate relationship.

[0077] If the relationship category between the current vehicle and the target vehicle changes, then it is necessary to determine the latest relationship category between the current vehicle and the target vehicle, that is, the target relationship category, and then interact with the target vehicle based on the target relationship category. If the relationship category between the current vehicle and the target vehicle does not change, then the interaction with the target vehicle can be based on the initial relationship category.

[0078] In the implementation process, a first approach frequency threshold, a second approach frequency threshold, a first interaction duration threshold, and a second interaction duration threshold can be set. Herein, the first approach frequency threshold is less than the second approach frequency threshold, and the first interaction duration threshold is less than the second interaction duration threshold. If the historical approach frequency is less than the first approach frequency threshold and the historical interaction duration is less than the first interaction duration threshold, then it is determined that the initial relationship category between the current vehicle and the target vehicle is a strange relationship. If the historical approach frequency is greater than the second approach frequency threshold, the historical interaction duration is greater than the second interaction duration threshold, the historical driving behavior is a driving behavior characterized by comfort, and the historical driving emotion is a driving emotion characterized by relaxation, then it is determined that the initial relationship category between the current vehicle and the target vehicle is an intimate relationship.

[0079] It can be understood that if the current driving behavior is inconsistent with the historical driving behavior, or the current driving emotion is inconsistent with the historical driving emotion, then it can be determined that the emotional feedback of the driver has changed, and at this time, it is necessary to re-determine the relationship category between the current vehicle and the target vehicle.

[0080] In some embodiments, the approaching frequency change trend may be determined based on the historical approaching frequency; the interaction duration change trend may be determined based on the historical interaction duration; and the target relationship category between the vehicle and the target vehicle may be determined based on the approaching frequency change trend, the interaction duration change trend, the current driving behavior, and the current driving emotion.

[0081] In the implementation process, multiple historical approaching frequencies for different time periods may be obtained, and the approaching frequency change trend may be determined based on the magnitude relationship among the multiple historical approaching frequencies. Similarly, multiple historical interaction durations for different time periods may be obtained, and the interaction duration change trend may be determined based on the magnitude relationship among the multiple historical interaction durations.

[0082] It can be understood that the approaching frequency change trend may be an increase in the approaching frequency, a decrease in the approaching frequency, or no change in the approaching frequency; the interaction duration change trend may be an increase in the interaction duration, a decrease in the interaction duration, or no change in the interaction duration.

[0083] In some embodiments, when the approaching frequency change trend is an increase, the interaction duration change trend is an increase, the current driving behavior is a driving behavior representing comfort, and the current driving emotion is a driving emotion representing relaxation, the target relationship category between the vehicle and the target vehicle is determined to be an intimate relationship.

[0084] After determining that the target relationship category is an intimate relationship, when interacting with the target vehicle, the interaction information corresponding to the intimate relationship may be adopted, such as playing relaxing sound effects, adjusting the seat comfort, activating the seat massage function, and displaying a friendly welcome message on the human-machine interface, so as to enhance the emotional connection of the driver.

[0085] In some embodiments, when the approaching frequency change trend is a decrease, the interaction duration change trend is a decrease, the current driving behavior is a driving behavior representing defensiveness, and the current driving emotion is a driving emotion representing anger, the target relationship category between the vehicle and the target vehicle is determined to be a hostile relationship.

[0086] After determining that the target relationship category is a hostile relationship, when interacting with the target vehicle, the interaction information corresponding to the hostile relationship may be adopted, such as playing relatively warning sound effects, increasing the seat vibration intensity, or displaying a warning message on the human-machine interface, so as to remind the driver to pay attention to the target vehicle.

[0087] By combining the four factors of the approaching frequency change trend, the interaction duration change trend, the current driving behavior, and the current driving emotion, the target relationship category between the vehicle and the target vehicle is jointly determined, which improves the judgment accuracy of the target relationship category and also avoids frequently changing the target relationship category, thereby causing frequent changes in the interaction information between vehicles.

[0088] In some embodiments, after determining the target relationship category, the current vehicle may display the target relationship category on the vehicle's human-machine interface and / or head-up display system.

[0089] Taking the example where the initial relationship category between the current vehicle and the target vehicle is a stranger relationship and the target relationship category is an intimate relationship, after determining that the target relationship category is an intimate relationship, the relationship between the current vehicle and the target vehicle can be modified from a stranger relationship to an intimate relationship on the vehicle's human-machine interface and / or head-up display system, so that the driver of the current vehicle can timely understand that the relationship category between the current vehicle and the target vehicle has changed.

[0090] It should be noted that the historical proximity frequency, historical interaction duration, driving behavior, driving emotion, the relationship category between the current vehicle and the target vehicle, and the corresponding interaction information involved in this application can all be encrypted using an encryption algorithm first and then stored in the vehicle to ensure data security. The privacy data of the driver involved in this application, such as driving emotion, can be anonymized to ensure strict protection of the driver's personal information and compliance with privacy regulations.

[0091] Through the collection of driver behavior data and the analysis of emotional feedback changes in the embodiments of this application, the relationship category and interaction information between vehicles can be dynamically adjusted, realizing a personalized and intelligent driving experience according to the emotional changes of the driver.

[0092] The following introduces the device embodiments of this application, which can be used to execute the vehicle interaction control method in the above embodiments of this application. For the details not disclosed in the device embodiments of this application, please refer to the embodiments of the vehicle interaction control method above in this application.

[0093] Figure 2 The block diagram of the vehicle interaction control device according to some embodiments of this application is shown. As Figure 2 shown, the vehicle interaction control device in the embodiments of this application includes: a data acquisition module 201, configured to acquire the historical proximity frequency and historical interaction duration with the target vehicle; the data acquisition module 201 is further configured to acquire the driving behavior and driving emotion of the driver when moving relative to the target vehicle; a vehicle relationship determination module 202, configured to determine the relationship category between the vehicle and the target vehicle according to multiple ones of the historical proximity frequency, historical interaction duration, driving behavior, and driving emotion; a vehicle interaction control module 203, configured to interact with the target vehicle according to the relationship category.

[0094] In some embodiments, based on the foregoing solution, the driving behavior includes historical driving behavior and current driving behavior, and the driving emotion includes historical driving emotion and current driving emotion. The vehicle relationship determination module 202 is further configured to determine an initial relationship category between the vehicle and the target vehicle according to the historical proximity frequency, historical interaction duration, historical driving behavior, and historical driving emotion; determine whether the emotional feedback of the driver has changed according to the historical driving behavior, historical driving emotion, current driving behavior, and current driving emotion; and in the case where the emotional feedback has changed, determine a target relationship category between the vehicle and the target vehicle according to the historical proximity frequency, historical interaction duration, current driving behavior, and current driving emotion.

[0095] In some embodiments, based on the foregoing solution, the vehicle relationship determination module 202 is further configured to determine a change trend of the proximity frequency according to the historical proximity frequency; determine a change trend of the interaction duration according to the historical interaction duration; and determine a target relationship category between the vehicle and the target vehicle according to the change trend of the proximity frequency, the change trend of the interaction duration, the current driving behavior, and the current driving emotion.

[0096] In some embodiments, based on the foregoing solution, the vehicle relationship determination module 202 is further configured to, in the case where the change trend of the proximity frequency is increasing, the change trend of the interaction duration is increasing, the current driving behavior is a driving behavior representing comfort, and the current driving emotion is a driving emotion representing relaxation, determine that the target relationship category between the vehicle and the target vehicle is an intimate relationship.

[0097] In some embodiments, based on the foregoing solution, the vehicle interaction control module 203 is further configured to display the target relationship category on the human-machine interface and / or the head-up display system of the vehicle.

[0098] In some embodiments, based on the foregoing solution, the vehicle interaction control module 203 is further configured to determine interaction information corresponding to the relationship category; and interact with the target vehicle according to the interaction information.

[0099] In some embodiments, based on the foregoing solution, the data acquisition module 201 is further configured to determine the driving behavior according to one or more of the speed control operation, brake control operation, and steering wheel control operation; and determine the driving emotion according to one or more of the physiological data, facial expressions, and voice data of the driver.

[0100] In an embodiment of the present application, the historical proximity frequency and historical interaction duration with the target vehicle are obtained; the driving behavior and driving emotion of the driver when moving relative to the target vehicle are obtained; based on multiple ones of the historical proximity frequency, historical interaction duration, driving behavior, and driving emotion, the relationship category between the vehicle and the target vehicle is determined; and interaction is performed with the target vehicle according to the relationship category. The above solution realizes the interaction between the vehicle and the target vehicle based on the relationship category between the vehicle and the target vehicle, providing a more intelligent, personalized, and emotional interaction experience.

[0101] Based on the same inventive concept, an embodiment of the present application also provides a vehicle. Refer to Figure 3 , which shows a schematic structural diagram of the vehicle in an embodiment of the present application. The vehicle includes one or more memories 304, one or more processors 302, and at least one computer program (computer program instructions) stored on the memory 304 and executable on the processor 302. When the processor 302 executes the computer program, the method described above is implemented.

[0102] Among them, in Figure 3 , the bus architecture (represented by the bus 300), the bus 300 may include any number of interconnected buses and bridges. The bus 300 links various circuits including one or more processors represented by the processor 302 and the memory represented by the memory 304 together. The bus 300 can also link various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art. Therefore, they will not be further described herein. The bus interface 305 provides an interface between the bus 300 and the receiver 301 and the transmitter 303. The receiver 301 and the transmitter 303 can be the same element, that is, a transceiver, providing a unit for communicating with various other devices on the transmission medium. The processor 302 is responsible for managing the bus 300 and general processing, while the memory 1204 can be used to store data used by the processor 1202 when performing operations.

[0103] Based on the same inventive concept, an embodiment of the present application provides a computer-readable storage medium. Computer program instructions are stored in the computer-readable storage medium. When the computer program instructions are executed by a processor, the processor is caused to implement the steps of the method described above.

[0104] Based on the same inventive concept, an embodiment of the present application provides a computer program product, including a computer program. When the computer program product is executed by a processor, the processor is caused to implement the steps of the method described above.

[0105] The functions described herein can be implemented in hardware, software executed by a processor, firmware, or any combination thereof. If implemented in software executed by a processor, the functions can be stored on or transmitted via a computer-readable medium as one or more instructions or code. Other examples and implementations are within the scope and spirit of this application and the appended claims. For example, due to the nature of software, the functions described above can be implemented using software executed by a processor, hardware, firmware, hardwiring, or any combination thereof. In addition, each functional unit may be integrated in one processing unit, or each unit may exist physically separately, or two or more units may be integrated in one unit.

[0106] In several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are merely illustrative. For example, the division of the units can be a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the couplings or direct couplings or communication connections shown or discussed with each other can be through some interfaces. The indirect couplings or communication connections of units or modules can be in electrical or other forms.

[0107] The units described as separate components may or may not be physically separated. The components serving as control devices may or may not be physical units, that is, they can be located in one place or distributed to multiple units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0108] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several 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 various embodiments of this application. The foregoing storage medium includes: various media such as USB flash drives, read-only memories (ROMs), random access memories (RAMs), mobile hard disks, magnetic disks, or optical discs that can store computer program instructions.

[0109] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims

1. An interactive control method between vehicles, applied to vehicles, characterized in that including: obtaining the historical proximity frequency and historical interaction duration with the target vehicle; obtaining the driving behavior and driving emotion of the driver when moving relative to the target vehicle; determining the relationship category between the vehicle and the target vehicle based on multiple ones of the historical proximity frequency, the historical interaction duration, the driving behavior, and the driving emotion; interacting with the target vehicle according to the relationship category.

2. The method for interactive control between vehicles according to claim 1, wherein The driving behavior includes historical driving behavior and current driving behavior, and the driving emotion includes historical driving emotion and current driving emotion. Determining the relationship category between the vehicle and the target vehicle based on multiple ones of the historical proximity frequency, the historical interaction duration, the driving behavior, and the driving emotion includes: determining an initial relationship category between the vehicle and the target vehicle according to the historical proximity frequency, the historical interaction duration, the historical driving behavior, and the historical driving emotion; judging whether the emotional feedback of the driver changes according to the historical driving behavior, the historical driving emotion, the current driving behavior, and the current driving emotion; in the case where the emotional feedback changes, determining a target relationship category between the vehicle and the target vehicle according to the historical proximity frequency, the historical interaction duration, the current driving behavior, and the current driving emotion.

3. The method for interactive control between vehicles according to claim 2, wherein, Determining the target relationship category between the vehicle and the target vehicle according to the historical proximity frequency, the historical interaction duration, the current driving behavior, and the current driving emotion includes: determining a change trend of the proximity frequency according to the historical proximity frequency; determining a change trend of the interaction duration according to the historical interaction duration; determining the target relationship category between the vehicle and the target vehicle according to the change trend of the proximity frequency, the change trend of the interaction duration, the current driving behavior, and the current driving emotion.

4. The method for interactive control between vehicles according to claim 3, wherein, Determining the target relationship category between the vehicle and the target vehicle according to the change trend of the proximity frequency, the change trend of the interaction duration, the current driving behavior, and the current driving emotion includes: in the case where the change trend of the proximity frequency is increasing, the change trend of the interaction duration is increasing, the current driving behavior is a driving behavior representing comfort, and the current driving emotion is a driving emotion representing relaxation, determining that the target relationship category between the vehicle and the target vehicle is an intimate relationship.

5. The method for interactive control between vehicles according to claim 2, wherein further including: displaying the target relationship category on the human-machine interface and / or head-up display system of the vehicle.

6. The method for interactive control between vehicles according to any one of claims 1 to 5, characterized in that Interacting with the target vehicle according to the relationship category includes: determining interaction information corresponding to the relationship category; interacting with the target vehicle according to the interaction information.

7. The method for interactive control between vehicles according to any one of claims 1 to 5, characterized in that, further including: determining the driving behavior according to one or more of a speed control operation, a brake control operation, and a steering wheel control operation; determining the driving emotion according to one or more of the physiological data, facial expressions, and voice data of the driver.

8. An interactive control device between vehicles, applied to a vehicle, characterized in that including: a data acquisition module for obtaining the historical proximity frequency and historical interaction duration with the target vehicle; The data acquisition module is further configured to acquire the driving behavior and driving emotion of the driver when moving relative to the target vehicle; The vehicle relationship determination module is configured to determine the relationship category between the vehicle and the target vehicle according to multiple ones of the historical approach frequency, the historical interaction duration, the driving behavior, and the driving emotion; The vehicle interaction control module is configured to interact with the target vehicle according to the relationship category.

9. A vehicle, comprising a processor and a memory, characterized in that, The memory stores computer program instructions executable by the processor. When the processor executes the computer program instructions, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that, Computer program instructions are stored in the computer-readable storage medium. When the computer program instructions are executed by the processor, the processor is caused to implement the steps of the method according to any one of claims 1 to 7.

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