In-vehicle cabin driving state prompting method, device and system

Abstract

The invention relates to the technical field of intelligent cabins, and discloses an in-vehicle cabin driving state prompting method, device and system. The method comprises the steps of firstly obtaining feature information of an environment in a current vehicle; on the basis of the feature information of the in-vehicle environment, feature information of passengers in the vehicle is determined, and the feature information comprises at least one of gender and age; and determining that the passenger belongs to the target object based on the feature information of the passenger, and generating first prompt information for prompting that the target object exists in the vehicle, so that the vehicle displays the first prompt information. According to the scheme, manual participation of a user is not needed, and the implementation mode is simpler. Moreover, if the feature information of the environment in the vehicle changes, the vehicle can generate the first prompt information according to the changed feature information, so that the method has the advantage of better timeliness.

Description

Technical Field

[0001] The present disclosure relates to the technical field of smart cockpits, and in particular to a method, device and system for prompting a driving status in a vehicle cabin. Background Art

[0002] During the driving process of a vehicle, the vehicle cabin is a closed and high-speed space, so the cabin status of the vehicle is a black box to the vehicles beside it. However, the cabin status often plays an important role in driving safety. For example, if there are infants and young children in the car, or the driver is a novice driver, the driver of the vehicle beside him will usually avoid the vehicle after knowing the cabin status, so as to improve the driving safety of the vehicle.

[0003] In order to enable the vehicles beside to understand the status of the cabin driver, the vehicle user usually purchases a car sticker and manually sticks the sticker on the vehicle. The car sticker includes characters for indicating the status of the cabin driver (such as "Baby in Car", "There is a baby in the car, please take care" or "Novice driver, please take care", etc.).

[0004] However, the implementation of this solution is relatively complicated, and if the cabin driving status changes, the car sticker cannot reflect the change in time, that is, the timeliness of this solution is poor. Summary of the invention

[0005] In order to solve the above technical problems, the present disclosure provides a method, device and system for prompting the in-vehicle cabin driving status, so as to realize a simple and convenient prompting of the in-vehicle cabin driving status and improve the timeliness of the prompting of the in-vehicle cabin driving status.

[0006] A first aspect of the present disclosure provides a method for prompting a vehicle cabin driving status, comprising:

[0007] Obtain characteristic information of the current vehicle interior environment;

[0008] Determining characteristic information of passengers in the vehicle based on characteristic information of the vehicle interior environment;

[0009] Based on the characteristic information of the passenger, it is determined that the passenger belongs to a target object, and first prompt information is generated for prompting the vehicle that the target object is present in the vehicle, so that the vehicle displays the first prompt information.

[0010] A second aspect of the present disclosure provides a vehicle cabin driving status prompting device, comprising:

[0011] A first information acquisition module is used to acquire characteristic information of the vehicle interior environment;

[0012] A first information determining module, configured to determine characteristic information of a passenger in the vehicle based on the characteristic information of the in-vehicle environment acquired by the first information acquiring module;

[0013] The first information generating module is used to determine that the passenger belongs to a target object based on the feature information of the passenger determined by the first information determining module, and to generate first prompt information for prompting the vehicle that the target object is present in the vehicle, so that the vehicle displays the first prompt information.

[0014] According to a third aspect of the present disclosure, a computer-readable storage medium is provided, wherein the storage medium stores a computer program, and the computer program is used to execute the in-vehicle cabin driving status prompt method described in the first aspect.

[0015] According to a fourth aspect of the present disclosure, an electronic device is provided, the electronic device comprising:

[0016] processor;

[0017] a memory for storing instructions executable by the processor;

[0018] The processor is used to read the executable instructions from the memory and execute the instructions to implement the in-vehicle cabin driving status prompt method described in the first aspect above.

[0019] According to a fifth aspect of the present disclosure, a computer program product is provided. When an instruction processor in the computer program product is executed, the method for prompting the in-vehicle cabin driving status described in the first aspect of the present disclosure is executed.

[0020] Among them, in the method for prompting the cabin driving status in the vehicle, firstly, characteristic information of the current vehicle's interior environment is obtained; based on the characteristic information of the interior environment, characteristic information of the passengers in the vehicle is determined; then based on the characteristic information of the passengers, it is determined that the passengers belong to the target object, and first prompt information for prompting the existence of the target object in the vehicle is generated, so that the vehicle displays the first prompt information. In the scheme disclosed in the present invention, the first prompt information is automatically generated and displayed by collecting the characteristic information of the interior environment in real time, so as to facilitate other vehicles around the current vehicle to know the cabin driving status of the target object in the vehicle, which is conducive to avoiding traffic accidents between other vehicles and the current vehicle, thereby improving driving safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a schematic diagram of the architecture of a vehicle to which the present disclosure is applicable.

[0022] Figure 2 It is a flowchart of a method for prompting a vehicle cabin driving status provided by an exemplary embodiment of the present disclosure.

[0023] Figure 3 It is a flowchart of a method for prompting the in-vehicle cabin driving status provided by another exemplary embodiment of the present disclosure.

[0024] Figure 4 It is a flowchart of a method for prompting the in-vehicle cabin driving status provided by another exemplary embodiment of the present disclosure.

[0025] Figure 5 It is a flowchart of a method for prompting the in-vehicle cabin driving status provided by another exemplary embodiment of the present disclosure.

[0026] Figure 6 It is a flowchart of a method for prompting the in-vehicle cabin driving status provided by another exemplary embodiment of the present disclosure.

[0027] Figure 7 It is a flowchart of a method for prompting the in-vehicle cabin driving status provided by another exemplary embodiment of the present disclosure.

[0028] Figure 8 It is a flowchart of a method for prompting the in-vehicle cabin driving status provided by another exemplary embodiment of the present disclosure.

[0029] Fig. 9 It is a flowchart of a method for prompting the in-vehicle cabin driving status provided by another exemplary embodiment of the present disclosure.

[0030] Fig.10 It is a structural schematic diagram of an in-vehicle cabin driving status prompt device provided by an exemplary embodiment of the present disclosure.

[0031] Fig.11 It is a structural schematic diagram of an in-vehicle cabin driving status prompt device provided by another exemplary embodiment of the present disclosure.

[0032] Fig.12 It is a structural schematic diagram of an in-vehicle cabin driving status prompt device provided by another exemplary embodiment of the present disclosure.

[0033] Fig.13 is a structural diagram of an electronic device provided by an exemplary embodiment of the present disclosure. DETAILED DESCRIPTION

[0034] To explain the present disclosure, example embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present disclosure, rather than all of the embodiments. It should be understood that the present disclosure is not limited to the example embodiments.

[0035] It should be noted that the relative arrangement of components and steps, the numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise.

[0036] Application Overview

[0037] When the vehicle is driving, the vehicle cabin is a closed space, so the passengers and drivers of the adjacent vehicles cannot know the cabin status of the vehicle. The cabin status is a black box to the passengers and drivers of the adjacent vehicles.

[0038] Among them, the cabin driving status of the vehicle in the present disclosure may include a variety of information. For example, the cabin driving status may indicate whether the passengers in the vehicle include infants or pregnant women, or whether the driver of the vehicle is an inexperienced novice driver or an experienced senior driver.

[0039] The cabin status of a vehicle often plays an important role in driving safety. For example, if there is a baby in the car, the driver of the car next to it will usually give way to the vehicle to provide a comfortable ride for the baby and improve the stability of the vehicle's driving after understanding the cabin status; or if the driver of the vehicle is a novice driver, the driver of the car next to it will usually give way to the vehicle to avoid collision or scratches with the vehicle after understanding the cabin status to improve the driving safety of the vehicle.

[0040] In order to enable the vehicles beside to understand the status of the cabin, the vehicle user usually purchases a car sticker indicating the cabin status and manually affixes the car sticker to the outside of the vehicle. The car sticker includes characters indicating the cabin status. For example, if there is a baby in the car, the affixed car sticker usually includes characters such as "There is a baby in the car" or "There is a baby in the car, please take care"; if the driver of the vehicle is a novice driver, the car sticker may include characters such as "Novice driver, please take care".

[0041] However, this solution requires the user of the vehicle to purchase and affix the vehicle sticker, and therefore the implementation process is relatively cumbersome.

[0042] In addition, if the cabin status of the vehicle changes, the car sticker cannot reflect the change in time, and its timeliness is poor.

[0043] For example, if a pregnant woman or a baby is added to the vehicle temporarily, it is impossible to add a car sticker such as "There is a baby in the car" to remind the driver in time, and it is impossible to remind the surrounding vehicles of the cabin driving status in real time, thereby reducing the timeliness of the cabin driving status.

[0044] In order to solve the problem that the existing technology of prompting the cabin driving status through car stickers has a cumbersome implementation process and poor timeliness, the present disclosure provides a method, device and corresponding system for prompting the cabin driving status in a vehicle. In the scheme of the present disclosure, the first prompt information is automatically generated and displayed based on the characteristic information of the current vehicle's interior environment, so that other vehicles around the current vehicle can know the cabin driving status of the target object in the vehicle, which is conducive to avoiding traffic accidents between other vehicles and the current vehicle, thereby improving driving safety.

[0045] Exemplary Systems

[0046] The embodiments of the present disclosure provide a method, device and corresponding system for prompting the driving status of the vehicle cabin, so as to realize prompting the driving status of the vehicle cabin.

[0047] In a feasible implementation, the method provided by the embodiment of the present disclosure may be applied by a vehicle. Figure 1 As shown in the schematic diagram of the vehicle architecture, the vehicle may include a sensor 10 , a processor 20 and a prompt device 30 .

[0048] The sensor 10 may include a first sensor 11, and the first sensor 11 is used to collect characteristic information of the vehicle's interior environment.

[0049] Typically, the first sensor 11 includes an image acquisition device and / or an audio acquisition device disposed in the cabin. The image acquisition device may include an in-cabin camera, etc. The in-cabin camera is used to shoot the interior of the vehicle to acquire images of the interior environment. Exemplarily, in a smart cockpit, a driver monitoring system (DMS) is usually provided, and the driver monitoring system includes a camera, which can be used as the first sensor 11 in the present disclosure; in addition, the smart cockpit may also be provided with an occupancy monitoring system (OMS), and the occupancy monitoring system also includes a camera, which can also be used as the first sensor 11 in the present disclosure.

[0050] In addition, the audio collection device may include a microphone array, etc., for collecting audio information of the in-vehicle environment. Accordingly, the characteristic information of the in-vehicle environment may include an image of the in-vehicle environment and / or audio information of the in-vehicle environment.

[0051] The processor 20 may obtain characteristic information of the current vehicle interior environment collected by the sensor 10. After obtaining the characteristic information of the vehicle interior environment, the processor 20 determines characteristic information of a passenger in the vehicle based on the characteristic information of the current vehicle interior environment, and then determines that the passenger belongs to a target object based on the passenger characteristic information, and generates first prompt information for prompting the existence of the target object in the vehicle.

[0052] The prompt device 30 can obtain the first prompt information generated by the processor 20 and display the first prompt information to play a prompt role.

[0053] In a feasible implementation, the prompt device 30 may include a light emitting device 31 disposed outside the vehicle, and the light emitting device generally includes a plurality of light emitting devices. In this case, the first prompt information may be used to indicate the switch state of each light emitting device. After receiving the first prompt information, each light emitting device enters an on or off state according to the target switch state indicated by the first prompt information, so that the prompt device 30 displays a target lighting effect for indicating the presence of a target object in the vehicle, so as to play a role in indicating the cabin driving state in the vehicle.

[0054] Alternatively, in another feasible implementation, the prompt device 30 may include a screen 32 disposed outside the vehicle. In this case, the first prompt information may be used to cause the screen to display a prompt screen. After receiving the first prompt information, the screen outside the vehicle may display a corresponding prompt screen, which is used to prompt the presence of the target object in the vehicle, so as to play a role in prompting the cabin driving status in the vehicle.

[0055] Of course, the prompt device 30 may also include a light emitting device 31 and a screen 32 disposed outside the vehicle, which is not limited in the present disclosure.

[0056] Through the solution provided by the embodiment of the present disclosure, the cabin driving state that there is a target object in the vehicle can be prompted through the first prompt information.

[0057] Furthermore, the processor 20 may also exchange information with the bus 40 of the vehicle, which may include a CAN bus, etc. Alternatively, the processor 20 may exchange information with the brake components and running components (such as tires, etc.) of the vehicle. By exchanging information with the bus 40, or with the brake components and running components, the processor 20 may obtain the driving behavior information of the driver.

[0058] The processor 20 may determine the driving state of the driver in the first driving scenario based on the driving behavior information, and, if the driving state of the driver is the target driving state, generate second prompt information for prompting the driver to be in the target driving state, so that the vehicle displays the second prompt information. The second prompt information may also be displayed by the prompt device 30.

[0059] The processor 20 may determine whether the driver's driving state is the target driving state in a variety of ways. In a feasible implementation, the processor 20 may determine whether the driver's driving state is the target driving state based only on the driving behavior information.

[0060] In another feasible implementation, the sensor 10 may further include a second sensor 12, which is used to collect characteristic information of the vehicle's external environment. The second sensor 12 may include at least one of an image acquisition device arranged outside the cabin (e.g., an external camera for photographing the vehicle's external environment), a radar (e.g., a laser radar), and an ultrasonic sensor. Moreover, after collecting the characteristic information of the external environment, the second sensor 12 may transmit the characteristic information of the external environment to the processor 20.

[0061] In addition, the processor 20 can run an automatic driving engine. During the driving of the vehicle, after the processor 20 obtains the characteristic information of the external environment transmitted by the second sensor 12, the automatic driving engine can determine the corresponding driving instructions based on the characteristic information of the external environment. In the first driving scenario, the processor 20 can determine whether the driver's driving state is the target driving state based on the driving behavior information and the driving instructions.

[0062] Through this solution, the driver can be prompted to be in the target driving state through the second prompt information.

[0063] Exemplary Methods

[0064] Figure 2 1 is a flow chart of a method for prompting a vehicle cabin driving status provided by an exemplary embodiment of the present disclosure. This embodiment can be applied to an electronic device, which may include an onboard chip, etc. Figure 2 As shown, the method comprises the following steps:

[0065] Step 201, obtaining characteristic information of the current vehicle interior environment.

[0066] In a feasible implementation of the present disclosure, the electronic device executing the embodiment of the present disclosure may exchange information with the first sensor and obtain feature information collected by the first sensor.

[0067] The first sensor may include an image acquisition device and / or an audio acquisition device. The image acquisition device may include an in-cabin camera, etc., for acquiring images of the in-vehicle environment. After acquiring the images of the in-vehicle environment, the image acquisition device may transmit the images to the electronic device so that the electronic device acquires the images. Accordingly, the characteristic information of the current in-vehicle environment of the vehicle includes the images of the in-vehicle environment.

[0068] Of course, the image acquisition device may also include other devices capable of acquiring images of the in-vehicle environment, and the present disclosure does not limit this.

[0069] In addition, the audio collection device may include a microphone array, etc., for collecting audio information of the in-vehicle environment. After collecting the audio information of the in-vehicle environment, the audio collection device can transmit the audio information to the electronic device so that the electronic device can obtain the audio information. Accordingly, the characteristic information of the current vehicle in-vehicle environment includes the audio information of the in-vehicle environment.

[0070] Of course, the audio collection device may also include other devices capable of collecting audio information of the in-vehicle environment, and the present disclosure does not limit this.

[0071] In addition, the first sensor may include an image acquisition device and an audio acquisition device at the same time, and the characteristic information of the current vehicle interior environment may include image and audio information of the vehicle interior environment.

[0072] Step 202, based on the characteristic information of the in-vehicle environment, determine the characteristic information of the passengers in the vehicle.

[0073] The characteristic information may include at least one of gender, age and body shape information.

[0074] Step 203: based on the characteristic information of the passenger, determine that the passenger belongs to the target object, generate first prompt information for prompting the vehicle that the target object exists in the vehicle, so that the vehicle displays the first prompt information.

[0075] The target object may include a pregnant woman and / or an infant. Of course, the target object may also include other types of objects, which is not limited in the present disclosure.

[0076] An embodiment of the present disclosure provides a method for prompting the driving status of a vehicle cabin, in which the characteristic information of the current vehicle interior environment is first obtained; based on the characteristic information of the vehicle interior environment, the characteristic information of the passengers in the vehicle is determined; then, based on the characteristic information of the passengers, it is determined that the passengers belong to a target object, and first prompt information is generated to prompt the existence of the target object in the vehicle, so that the vehicle displays the first prompt information.

[0077] The solution of the embodiment of the present disclosure can prompt the cabin driving status of the target object in the vehicle through the first prompt information. Moreover, the solution does not require manual participation of the user, so it has the advantage of being simple and convenient to implement. Furthermore, since the first prompt information is generated based on the characteristic information of the current vehicle's interior environment, if the characteristic information of the vehicle's interior environment changes, this solution will generate the first prompt information based on the changed characteristic information. Therefore, the first prompt information can reflect the change in the cabin driving status in the vehicle. Accordingly, the solution of the embodiment of the present disclosure also has the advantage of good timeliness.

[0078] In the scheme disclosed in the present invention, by collecting characteristic information of the in-vehicle environment in real time, the first prompt information is automatically generated and displayed to facilitate other vehicles around the current vehicle to know the cabin driving status of the target object in the vehicle, which is beneficial to avoid traffic accidents between other vehicles and the current vehicle, thereby improving driving safety.

[0079] The driver of the vehicle may be a novice driver or an experienced driver with rich driving experience, and different drivers have different driving states. Figure 3 The workflow diagram shown in Figure 2 The embodiment shown also includes the following steps:

[0080] Step 204: Acquire driving behavior information of the driver in the first driving scene.

[0081] Driving scenarios include autonomous driving scenarios and manual driving scenarios. In the autonomous driving scenario, electronic devices (such as on-board chips) can run an autonomous driving engine, which can generate corresponding driving instructions based on the characteristic information of the vehicle's external environment to instruct the vehicle to perform corresponding operations through the driving instructions. In the manual driving scenario, the vehicle performs corresponding operations based on the received driver's behavior information.

[0082] In the embodiment of the present disclosure, the first driving scenario may be a manual driving scenario. The driving behavior information is used to indicate the driver's behavior of operating the vehicle, for example, accelerating, decelerating or turning the vehicle.

[0083] The information of various components in the vehicle (such as the engine, brake system, steering system and chassis, etc.) can be transmitted to the vehicle's processor through the vehicle's bus (such as the CAN bus), so that the processor can control the vehicle according to the received information. Therefore, the vehicle's bus can transmit the status information of various components in the vehicle to the vehicle's processor, such as the engine speed, brake pressure, steering wheel angle and throttle pressure, etc.

[0084] In a feasible implementation of the embodiment of the present disclosure, the electronic device can obtain the status information of each device in the vehicle transmitted by the bus through information interaction with the bus, and further determine the driver's driving behavior information based on the status information.

[0085] In another feasible implementation, the electronic device may be connected to various components in the vehicle to obtain status information of each component, and then determine the driver's driving behavior information based on the obtained status information of each component.

[0086] Of course, in the embodiment of the present disclosure, the driving behavior information of the driver in the first driving scene may also be obtained in other ways, and the present disclosure does not limit this.

[0087] Step 205: Based on the driving behavior information, determine that the driver's driving state is a target driving state, generate second prompt information for prompting the driver to be in the target driving state, so that the vehicle displays the second prompt information.

[0088] In a feasible implementation of the present disclosure, the target driving state is a novice driving state, and the second prompt information is information for prompting the driver to be in a novice driving state. That is, in this implementation, when it is determined that the driver's driving state is a novice driving state, the second prompt information is used for prompting.

[0089] In the present disclosure, whether the driver's driving state is the target driving state is determined based on the driver's driving behavior information in the first driving scene. When the driver's driving state changes, the driver's driving behavior information will also change. Based on the changed driving behavior information, the change of the driver's driving state is determined in time, and the second prompt information can be regenerated in the case of the change. Therefore, the solution of the embodiment of the present disclosure has good timeliness. And the solution does not require manual participation of the user, and the implementation method is simple and convenient.

[0090] like Figure 4 As shown, step 205 may include the following steps:

[0091] Step 2051: Based on the driving behavior information, determine the number of times the driver performs opposite operations within a first preset time period and the interval between performing the opposite operations.

[0092] The driving behavior information may reflect the operations performed by the driver. For example, the operations may include: acceleration operation, deceleration operation, braking operation, straight-moving operation, left-turn operation and right-turn operation, etc., which are not limited in the present disclosure.

[0093] Exemplarily, the opposite operation of an acceleration operation may include a deceleration operation and a braking operation, the opposite operation of a deceleration operation may include an acceleration operation, the opposite operation of a braking operation may include an acceleration operation, the opposite operation of a straight-moving operation may include a left turn operation and a right turn operation, the opposite operation of a left turn operation may include a straight-moving operation and a right turn operation, and the opposite operation of a right turn operation may include a straight-moving operation and a left turn operation.

[0094] In this step, the moment when the driving behavior information is obtained can be used as the moment when the driver performs the operation indicated by the driving behavior information. In a feasible implementation of the embodiment of the present disclosure, each operation performed by the driver can be determined based on the driving behavior information, and when it is determined to perform an opposite operation, the interval between performing the opposite operation is determined based on the moment when the driving behavior information corresponding to the opposite operation is obtained.

[0095] Step 2052, in response to the number of times being greater than or equal to the first preset threshold, and the interval duration of each opposite operation being less than or equal to the second preset threshold, determining that the driver's driving state is the target driving state.

[0096] In this step, the target driving state is the novice driving state.

[0097] In the embodiment of the present disclosure, the first preset duration is usually a short duration, such as 1 minute. If the number of times the driver performs the opposite operation within the first preset duration is greater than or equal to the first preset threshold, and the interval between the driver performing the opposite operation is less than or equal to the second preset threshold, it indicates that the driver often performs the opposite driving operation within the first preset duration, the driver is not familiar with the driving operation of the vehicle, and is often in a hurry. The driver is most likely a novice, and accordingly, it can be determined that the driver is in a novice driving state.

[0098] The scheme of the disclosed embodiment can determine the number of times and the interval duration of the driver's execution of opposite operations within a first preset time period based on driving behavior information, and determine whether the driver's driving state is the target driving state based on a comparison of the number of times with a first preset threshold, and a comparison of the interval duration between the driver's execution of opposite operations with a second preset threshold.

[0099] In another embodiment, if Figure 5 As shown, step 205 may include the following steps:

[0100] Step 2053: Obtain driving instructions generated for the first driving scenario.

[0101] In the disclosed embodiments, the vehicle may support an automatic driving scenario and a manual driving scenario. In the automatic driving scenario, the electronic device may run an automatic driving engine, and the automatic driving engine may generate corresponding driving instructions based on characteristic information of the vehicle's external environment, so as to instruct the vehicle to perform corresponding operations through the driving instructions. In the manual driving scenario, the vehicle performs corresponding operations based on the received behavior information of the driver.

[0102] In this step, the first driving scenario may be a manual driving scenario, and in the first driving scenario, the electronic device (such as an on-board chip) may still run the automatic driving engine, so that the electronic device obtains the driving instructions generated by the automatic driving engine.

[0103] Step 2054, determining the first operation that the driving behavior information instructs the vehicle to perform, and the second operation that the driving instruction instructs the vehicle to perform.

[0104] Step 2055, in response to the first operation and the second operation being opposite operations, and the time interval between the acquisition time of the driving instruction and the acquisition time of the driving behavior information is within a second preset time length, determining that the driver's driving state is the target driving state.

[0105] In this step, the target driving state is a novice driving state.

[0106] The second preset time duration is usually a shorter time duration, such as 1 minute. The time interval between the time when the driving instruction is obtained and the time when the driving behavior information is obtained is within the second preset time duration, indicating that the time when the driving instruction is obtained is relatively close to the time when the driving behavior information is obtained, and the first operation and the second operation are opposite operations, indicating that in a short period of time, the driver performs a driving operation opposite to the driving instruction, the driver is not familiar with the driving operation of the vehicle, and the possibility that the driver is a novice is high. Accordingly, it can be determined that the driver is in a novice driving state.

[0107] The scheme of the embodiment of the present disclosure can determine a first operation indicated by the driving behavior information and a second operation indicated by the driving instruction generated for the first driving scenario, and determine that the driver's driving state is a target driving state when the first operation and the second operation are opposite operations and the time interval between the moment of obtaining the driving instruction and the moment of obtaining the driving behavior information is within a second preset time length, thereby realizing the determination of whether the driver is in the target driving state based on the driving instruction and driving behavior information generated for the first driving scenario.

[0108] In another embodiment, the characteristic information of the passenger includes at least one of gender, age, and body shape information. Figure 2 Based on the illustrated embodiment, step 203 may include the following steps:

[0109] Based on the gender in the characteristic information of the passenger, it is determined that the corresponding gender of the passenger is female, and based on the body shape information in the characteristic information of the passenger, it is determined that the passenger is a pregnant woman, and then a first sub-prompt information is generated for prompting the presence of a pregnant woman in the vehicle.

[0110] In the disclosed embodiment, the characteristic information of the passenger includes the passenger's gender and body shape information. In the disclosed embodiment, after determining that the passenger is a female, it is further determined whether the passenger's body shape information conforms to the body shape information of a pregnant woman, and if so, it is determined whether the passenger is a pregnant woman.

[0111] Exemplary, some pregnant women may have a bulge in the abdomen, or some pregnant women may have edema on their faces, which can be used as body shape information that meets pregnant women. If a certain passenger is a woman, and the passenger has a bulge in the abdomen, or the passenger has edema on his face, then it can be determined that the passenger is a pregnant woman.

[0112] Of course, in the embodiment of the present disclosure, other body shape information may also be used to determine whether the female passenger is a pregnant woman, and the present disclosure does not limit this.

[0113] In addition, step 203 may include the following steps:

[0114] Based on the age in the characteristic information of the passenger, it is determined that the passenger is an infant, and then second sub-prompt information is generated for prompting that there is an infant in the vehicle.

[0115] The solution of the embodiment of the present disclosure can determine whether the passenger is a pregnant woman based on the gender and body shape information in the characteristic information of the passenger, and generate the first sub-prompt information if the passenger is determined to be a pregnant woman; and can determine whether the passenger is an infant based on the age in the characteristic information of the passenger, and generate the second sub-prompt information if the passenger is determined to be an infant. Therefore, through the solution of the embodiment of the present disclosure, when the passengers in the vehicle include pregnant women or infants, the corresponding first prompt information can be used for prompting.

[0116] like Figure 6 As shown, the characteristic information of the in-vehicle environment includes an image of the in-vehicle environment. Figure 2 Based on the illustrated embodiment, step 202 may include the following steps:

[0117] Step 2021, based on the image of the in-vehicle environment, determine the area in the image that includes at least one facial feature.

[0118] In this step, face detection can be performed on the image of the vehicle interior environment by using face detection technology, and based on the result of face detection, a region in the image including at least one facial feature is determined, and the position of the region can be represented by the coordinates of the region in the image. The facial feature can include at least one of facial features, eyebrows and hair.

[0119] Exemplarily, in this step, face detection can be achieved through a machine learning method. Of course, face detection can also be achieved through other methods, which is not limited in the present disclosure.

[0120] Step 2022: Based on an area of ​​at least one facial feature included in the image, determine that the person corresponding to the area is a passenger.

[0121] A vehicle usually includes a driver and passengers. In this step, the shooting angle of the camera that shoots the image and the area in the image that includes facial features can be used to determine whether the person corresponding to the area is a passenger, so as to distinguish the driver and passengers corresponding to the areas in the image that include facial features. Among them, the person in the non-driving seat is the passenger.

[0122] Step 2023, determining the characteristic information of the passenger based on the image corresponding to the area.

[0123] In this step, facial attribute analysis can be performed on the passenger's face included in the image using facial attribute analysis technology, and based on the analysis results, characteristic information of the passenger can be determined.

[0124] Exemplarily, in this step, facial attribute analysis can be realized by machine learning methods. Of course, facial attribute analysis can also be realized by other methods, which is not limited in the present disclosure.

[0125] The passenger's characteristic information may include at least one of gender, age, and body shape information.

[0126] Through the solution of this embodiment, characteristic information of passengers in the vehicle can be determined based on the image of the vehicle interior environment.

[0127] In a feasible implementation, the characteristic information of the in-vehicle environment includes audio information of the in-vehicle environment. Figure 7 As shown in the above Figure 2 Based on the illustrated embodiment, step 202 may include the following steps:

[0128] Step 2024, determining the location of the sound source and the audio characteristics of the audio information in the vehicle interior environment.

[0129] Exemplarily, the disclosed embodiment collects audio information of the in-vehicle environment through a microphone array. The microphone array is composed of multiple microphones, and each microphone is distributed at different positions. When a sound source sends audio information, the time when the audio information arrives at different microphones is often different. Therefore, based on the time difference when the audio information arrives at different microphones and the position of each microphone, the location of the sound source can be determined.

[0130] In addition, the audio feature is a feature used to distinguish audio information emitted by passengers of different genders and / or different ages. Exemplarily, the audio feature may include at least one of Mel frequency cepstral coefficients, fundamental frequency, and tone frequency. Of course, the audio feature may also include other features, which are not limited in the present disclosure.

[0131] Step 2025: Based on the location of the sound source of the audio information, determine that the location of the sound source is a passenger.

[0132] In this step, if the sound source of the audio information is located at a non-driving seat, it can be determined that the sound source is located at a passenger seat.

[0133] Step 2026, determining the characteristic information of the passenger based on the recognition of the audio features.

[0134] In this step, the audio features can be identified through the sound detection model, and the characteristic information of the passenger can be determined based on the identification results.

[0135] The sound detection model may be constructed by a machine learning method. Of course, the sound detection model may also be constructed by other methods, which is not limited in the present disclosure.

[0136] Through the solution of this embodiment, characteristic information of passengers in the vehicle can be determined based on the audio information of the in-vehicle environment.

[0137] like Figure 8 As shown in the above Figure 2 Based on the illustrated embodiment, step 203 may include the following steps:

[0138] Step 2031, based on the characteristic information of the passenger, determine that the passenger is a target object, and determine a target lighting effect for prompting the existence of the target object in the vehicle.

[0139] In the embodiment of the present disclosure, the correspondence between different target objects and different lighting effects may be pre-stored. After determining that the passenger belongs to the target object, the target lighting effect may be determined based on the correspondence.

[0140] The target lighting effect may be a character or graphic indicating that there is a target object in the vehicle. For example, if the target object is a pregnant woman, the target lighting effect may include a character "There is a pregnant woman in the car, please take care of her" or a simple drawing of a pregnant woman; if the target object is a baby, the target lighting effect may include a character "There is a baby in the car" or "There is a baby in the car, please take care of her" or a simple drawing of a baby.

[0141] Of course, the target lighting effect may also be other forms of lighting effects, which is not limited in the present disclosure.

[0142] Step 2032, based on the pre-stored correspondence between different lighting effects and the switch states of various light-emitting devices outside the vehicle, determine the target switch state of each light-emitting device corresponding to the target lighting effect.

[0143] The light-emitting devices disposed outside the vehicle include a plurality of light-emitting devices. For example, the light-emitting devices may include a plurality of rows of light-emitting diodes arranged side by side. By lighting up some of the light-emitting devices and turning off the other light-emitting devices, the plurality of light-emitting devices may present different lighting effects. The switch state of the light-emitting device is used to indicate whether the light-emitting device is in an on and lit state or in an off state.

[0144] In the disclosed embodiment, the correspondence between different lighting effects and the switch states of various light-emitting devices outside the vehicle can be pre-stored. For example, the switch states of various light-emitting devices corresponding to the need to display a lighting effect including the character "Baby in Car" can be stored; and the switch states of various light-emitting devices corresponding to the need to display a lighting effect including a stick figure of a pregnant woman can also be stored.

[0145] In the case where the correspondence between different lighting effects and the switch states of each light-emitting device outside the vehicle is pre-stored, the target switch state of each light-emitting device corresponding to the target lighting effect can be determined based on the correspondence and the target lighting effect determined in step 2031.

[0146] Step 2033: Generate first prompt information for indicating that the light-emitting device meets the target switch state.

[0147] Through the first prompt information, the switch state of each light-emitting device outside the vehicle can be controlled to match the target switch state, so that each light-emitting device displays the target lighting effect, thereby achieving the purpose of prompting the existence of the target object in the vehicle through the target lighting effect.

[0148] In another feasible implementation of the present disclosure, as Fig. 9 As shown in the above Figure 2 Based on the illustrated embodiment, step 203 may include the following steps:

[0149] Step 2034: Based on the characteristic information of the passenger, determine that the passenger is a target object, and generate a prompt screen for prompting the presence of the target object in the vehicle.

[0150] Exemplarily, if the target object is a pregnant woman, the prompt screen may be a screen including the pregnant woman, and the screen may display the text "There is a pregnant woman in the car, please take care of her"; if the target object is a baby, the prompt screen may be a screen including the baby, and the screen may display the text "There is a baby in the car, please take care of her".

[0151] Of course, the prompt screen may also be in other forms, and the present disclosure does not limit this.

[0152] Step 2035, generating first prompt information for causing a screen outside the vehicle to display a prompt picture.

[0153] Through the first prompt information, the prompt picture can be displayed on the screen outside the vehicle, so as to achieve the purpose of prompting the existence of the target object in the vehicle through the prompt picture.

[0154] In the above embodiment, a method is provided to determine that the passenger belongs to a target object based on the characteristic information of the passenger, and to generate a first prompt information for prompting the existence of the target object in the vehicle. In order to prompt the driver that he is in the target driving state, the embodiment of the present disclosure may also generate a second prompt information for indicating that the driver is in the target driving state.

[0155] In a feasible implementation of the present disclosure, based on the driving behavior information, determining that the driver's driving state is a target driving state, and generating second prompt information for prompting the driver to be in the target driving state can be implemented by the following steps:

[0156] First, based on the driving behavior information, the driver's driving state is determined to be the target driving state, and an intended lighting effect is determined to prompt the driver to be in the target driving state. The intended lighting effect may be a character prompting the driver's driving state to be the target driving state. For example, if the target driving state is a novice state, the intended lighting effect may include a character "Newbie on the road, please take care". Of course, the intended lighting effect may also be other forms of lighting effects, which are not limited in this disclosure.

[0157] Then, based on the pre-stored correspondence between different lighting effects and the switch states of various light-emitting devices outside the vehicle, the corresponding switch states of various light-emitting devices corresponding to the intended lighting effect are determined. For example, the switch states of various light-emitting devices corresponding to the lighting effect containing the characters "Newbie on the road, please take care" may be stored. After determining the corresponding switch states of various light-emitting devices corresponding to the intended lighting effect, a second prompt information is generated to indicate that the light-emitting devices meet the corresponding switch states.

[0158] The second prompt information generated by this implementation method can control the switch state of each light-emitting device outside the vehicle to match the corresponding switch state, so that each light-emitting device displays the intended lighting effect, thereby prompting the driver's driving state to be the target driving state through the intended lighting effect.

[0159] In another feasible implementation of the present disclosure, based on the driving behavior information, determining that the driver's driving state is the target driving state, and generating the second prompt information for prompting the driver to be in the target driving state can be implemented by the following steps:

[0160] First, based on the driving behavior information, the driver's driving state is determined to be the target driving state, and a prompt screen is generated to prompt the driver to be in the target driving state. For example, if the target driving state is the novice state, the prompt screen may be a screen including the driver driving the vehicle, and the characters "Newbie on the road, please take care" are displayed around the driver in the screen. Of course, the prompt screen may also be other forms of screens, which are not limited in this disclosure.

[0161] Then, generate the second prompt information for making the screen display outside the vehicle be used to prompt the driver to be in the prompt picture of the target driving state. Through the second prompt information, the screen display outside the vehicle can be made to display the prompt picture, and the driver can be prompted to be in the target driving state through the prompt picture.

[0162] Exemplary Devices

[0163] The following are device embodiments of the present disclosure, which can be used to execute the method embodiments of the present disclosure. For details not disclosed in the device embodiments of the present disclosure, please refer to the method embodiments of the present disclosure.

[0164] Fig.10 2 is a structural diagram of a vehicle cabin driving status prompt device provided by an exemplary embodiment of the present disclosure. The device may include: a first information acquisition module 201, a first information determination module 202 and a first information generation module 203.

[0165] The first information acquisition module 201 is used to acquire characteristic information of the current vehicle interior environment;

[0166] A first information determination module 202, configured to determine characteristic information of passengers in the vehicle based on the characteristic information of the vehicle interior environment acquired by the first information acquisition module 201;

[0167] The first information generating module 203 is used to determine that the passenger belongs to the target object based on the characteristic information of the passenger determined by the first information determining module 202, and to generate first prompt information for prompting that the vehicle contains the target object.

[0168] For further information, see Fig.11 As shown in the structural schematic diagram, the in-vehicle cabin driving status prompt device disclosed in another embodiment of the present disclosure also includes: a second information acquisition module 204 and a second information generation module 205.

[0169] The second information acquisition module 204 is used to acquire the driving behavior information of the driver in the first driving scene;

[0170] The second information generating module 205 is used to determine that the driver's driving state is the target driving state based on the driving behavior information obtained by the second information obtaining module 204, and generate second prompt information for prompting the driver to be in the target driving state, so that the vehicle displays the second prompt information.

[0171] In one possible implementation, see Fig.12 The second information generating module 205 includes: a first determining unit 2051 and a second determining unit 2052.

[0172] The first determining unit 2051 is used to determine the number of times the driver performs opposite operations within a first preset time period and the interval between performing the opposite operations based on the driving behavior information;

[0173] The second determination unit 2052 is used to determine that the driver's driving state is the target driving state in response to the number of times determined by the first determination unit 2051 being greater than or equal to the first preset threshold, and the interval duration determined by the first determination unit 2051 being less than or equal to the second preset threshold.

[0174] In another feasible implementation manner, the second information generating module 205 includes: an acquiring unit 2053 , a third determining unit 2054 , and a fourth determining unit 2055 .

[0175] The acquisition unit 2053 is used to acquire the driving instruction generated for the first driving scenario;

[0176] The third determining unit 2054 is used to determine the first operation that the driving behavior information instructs the vehicle to perform, and the second operation that the driving instruction acquired by the acquiring unit 2053 instructs the vehicle to perform;

[0177] The fourth determination unit 2055 is used to determine that the driver's driving state is the target driving state in response to the first operation and the second operation determined by the third determination unit 2054 being opposite operations, and the time interval between the time of obtaining the driving instruction and the time of obtaining the driving behavior information is within a second preset time length.

[0178] In another embodiment of the present disclosure, the first information generating module 203 includes: a first generating unit 2031 and a second generating unit 2032 .

[0179] The first generating unit 2031 is used to determine that the gender of the passenger is female based on the gender in the characteristic information of the passenger, and to determine that the passenger is a pregnant woman based on the body shape information in the characteristic information of the passenger, and then generate the first sub-prompting information for prompting that there is a pregnant woman in the vehicle;

[0180] The second generating unit 2032 is used to determine that the passenger is an infant based on the age in the characteristic information of the passenger, and then generate second sub-prompting information for prompting that there is an infant in the vehicle.

[0181] In another embodiment of the present disclosure, the characteristic information of the in-vehicle environment includes an image of the in-vehicle environment, and the first information determination module 202 includes: an area determination unit 2021 , a first passenger determination unit 2022 and a first characteristic determination unit 2023 .

[0182] The region determination unit 2021 is used to determine a region including at least one facial feature in the image based on the image of the vehicle interior environment;

[0183] A first passenger determination unit 2022, configured to determine, based on the area determined by the area determination unit 2021, that a person corresponding to the area is a passenger;

[0184] The first feature determination unit 2023 is used to determine the feature information of the passenger determined by the first passenger determination unit 2022 based on the image corresponding to the area determined by the area determination unit 2021.

[0185] In another embodiment of the present disclosure, the characteristic information of the in-vehicle environment includes audio information of the in-vehicle environment, and the first information determination module 202 includes: an audio determination unit 2024 , a second passenger determination unit 2025 and a second characteristic determination unit 2026 .

[0186] The audio determination unit 2024 is used to determine the location of the sound source and the audio characteristics of the audio information in the vehicle environment;

[0187] The second passenger determination unit 2025 is used to determine that the location of the sound source is a passenger based on the location of the sound source of the audio information determined by the audio determination unit 2024;

[0188] The second feature determination unit 2026 is used to determine the feature information of the passenger based on the recognition of the audio features determined by the audio determination unit 2024.

[0189] In another embodiment of the present disclosure, the first information generating module 203 may include: an effect determining unit 2033 , a state determining unit 2034 and a third generating unit 2035 .

[0190] The effect determination unit 2033 is used to determine that the passenger belongs to the target object based on the characteristic information of the passenger, and determine the target lighting effect for prompting the existence of the target object in the vehicle;

[0191] The state determination unit 2034 is used to determine the target switch state of each light emitting device corresponding to the target light effect determined by the display effect determination unit 2033 based on the pre-stored correspondence between different light effects and the switch states of each light emitting device outside the vehicle;

[0192] The third generating unit 2035 is used to generate the first prompt information for indicating that the light-emitting device complies with the target switch state determined by the state determining unit 2034 .

[0193] In another embodiment of the present disclosure, the first information generating module may include: a picture generating unit and a second generating unit.

[0194] The screen generation unit is used to determine that the passenger belongs to the target object based on the characteristic information of the passenger, and to generate a prompt screen for prompting that the target object exists in the vehicle;

[0195] The second generating unit is used to generate first prompt information for causing a screen outside the vehicle to display a prompt picture.

[0196] The device provided by the embodiment of the present disclosure can prompt the cabin driving status of the target object in the vehicle through the first prompt information. Moreover, the solution does not require manual participation of the user, so the implementation method is simpler than the existing solution of sticking car stickers. Moreover, since the first prompt information is generated based on the characteristic information of the current vehicle's interior environment, if the characteristic information of the vehicle's interior environment changes, the vehicle will generate the first prompt information based on the changed characteristic information. Therefore, the first prompt information can reflect the change of the cabin driving status in the vehicle. Accordingly, the solution of the present disclosure has the advantage of good timeliness.

[0197] Exemplary Electronic Devices

[0198] Fig.13 A structural diagram of an electronic device provided in an embodiment of the present disclosure includes at least one processor 111 and a memory 112.

[0199] The processor 111 may be a central processing unit (CPU) or other forms of processing units having data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device 10 to perform desired functions.

[0200] The memory 112 may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and / or cache memory (cache), etc. Non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on a computer-readable storage medium, and the processor 111 may execute one or more computer program instructions to implement the in-vehicle cabin driving status prompt method and / or other desired functions of the various embodiments of the present disclosure described above.

[0201] In one example, the electronic device 100 may further include: an input device 113 and an output device 114 , and these components are interconnected via a bus system and / or other forms of connection mechanisms (not shown).

[0202] The input device 113 may also include, for example, a keyboard, a mouse, etc. Exemplarily, the input device 113 may include a sensor, and the sensor may include a sensor for collecting characteristic information of the in-vehicle environment, such as an image acquisition device and / or an audio acquisition device in the vehicle, and the sensor may also include a sensor for collecting characteristic information of the in-vehicle environment outside the vehicle, such as at least one of an image acquisition device outside the vehicle, a radar (such as a laser radar), and an ultrasonic sensor.

[0203] The output device 114 can output various information to the outside, and may include, for example, a display, a speaker, a printer, a communication network and a remote output device connected thereto, etc. Exemplarily, the output device 114 may include a light-emitting device disposed outside the vehicle, and the light-emitting device may display the lighting effect corresponding to the first prompt information and / or the second prompt information. Alternatively, the output device 114 may include a screen disposed outside the vehicle, and the screen may display the screen corresponding to the first prompt information and / or the second prompt information.

[0204] Of course, to simplify, Fig.13 Only some of the components related to the present disclosure in the electronic device 100 are shown, and components such as a bus, an input / output interface, etc. are omitted. In addition, according to specific application situations, the electronic device 100 may also include any other appropriate components.

[0205] Exemplary computer program products and computer-readable storage media

[0206] In addition to the above-mentioned methods and devices, embodiments of the present disclosure may also provide a computer program product, including computer program instructions, which, when executed by a processor, enable the processor to execute the steps of the in-vehicle cabin driving status prompt method of various embodiments of the present disclosure described in the above-mentioned "Exemplary Method" section.

[0207] The computer program product may be written in any combination of one or more programming languages ​​to write program code for performing the operations of the disclosed embodiments, including object-oriented programming languages ​​such as Java, C++, etc., and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a separate software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0208] In addition, an embodiment of the present disclosure may also be a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the processor executes the steps of the in-vehicle cabin driving status prompt method of various embodiments of the present disclosure described in the above-mentioned "Exemplary Method" section.

[0209] Computer readable storage media can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium is, for example, but not limited to, a system, device or device including electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0210] The basic principles of the present disclosure are described above in conjunction with specific embodiments. However, the advantages, strengths, effects, etc. mentioned in the present disclosure are only examples and not limitations, and cannot be considered as necessary for each embodiment of the present disclosure. In addition, the specific details disclosed above are only for the purpose of illustration and ease of understanding, rather than limitation, and the above details do not limit the present disclosure to being implemented by adopting the above specific details.

[0211] Those skilled in the art may make various changes and modifications to the present disclosure without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present disclosure claims and their equivalents, the present disclosure is also intended to include these modifications and variations.

Claims

1. A method for prompting a driving status in a vehicle, comprising: Obtain characteristic information of the current vehicle interior environment; Determining characteristic information of passengers in the vehicle based on characteristic information of the vehicle interior environment; Based on the characteristic information of the passenger, it is determined that the passenger belongs to a target object, and first prompt information is generated for prompting the vehicle that the target object is present in the vehicle, so that the vehicle displays the first prompt information.

2. The method according to claim 1, wherein: The method further comprises: Acquiring driving behavior information of the driver in a first driving scenario; Based on the driving behavior information, the driving state of the driver is determined to be a target driving state, and second prompt information is generated to prompt the driver to be in the target driving state, so that the vehicle displays the second prompt information.

3. The method according to claim 2, wherein: The determining, based on the driving behavior information, that the driving state of the driver is a target driving state includes: Based on the driving behavior information, determining the number of times the driver performs opposite operations within a first preset time period and the interval between performing the opposite operations; In response to the number being greater than or equal to a first preset threshold, and the interval duration being less than or equal to a second preset threshold, it is determined that the driver's driving state is a target driving state.

4. The method according to claim 2, wherein: The determining, based on the driving behavior information, that the driving state of the driver is a target driving state includes: Obtaining a driving instruction generated for the first driving scenario; determining a first operation that the driving behavior information instructs the vehicle to perform, and a second operation that the driving instruction instructs the vehicle to perform; In response to the first operation and the second operation being opposite operations, and the time interval between the acquisition time of the driving instruction and the acquisition time of the driving behavior information is within a second preset time length, it is determined that the driving state of the driver is a target driving state.

5. The method according to claim 1, wherein: The characteristic information of the passenger includes at least one of gender, age, and body shape information; the determining, based on the characteristic information of the passenger, that the passenger in the vehicle belongs to a target object, and generating first prompt information for prompting that the target object is in the vehicle includes: Based on the gender in the characteristic information of the passenger, it is determined that the gender of the passenger is female, and based on the body shape information in the characteristic information of the passenger, it is determined that the passenger is a pregnant woman, and first sub-prompt information for prompting that there is a pregnant woman in the vehicle is generated; Based on the age in the characteristic information of the passenger, it is determined that the passenger is an infant, and then second sub-prompt information is generated for prompting that there is an infant in the vehicle.

6. The method according to claim 1, wherein: The characteristic information of the in-vehicle environment includes an image of the in-vehicle environment, and the determining the characteristic information of the passenger in the vehicle based on the characteristic information of the in-vehicle environment includes: Based on the image of the vehicle interior environment, determining a region in the image that includes at least one facial feature; Based on the area, determining that a person corresponding to the area is a passenger; Based on the image corresponding to the area, characteristic information of the passenger is determined.

7. The method according to claim 1, wherein: The characteristic information of the in-vehicle environment includes audio information of the in-vehicle environment, and determining the characteristic information of the passenger in the vehicle based on the characteristic information of the in-vehicle environment includes: Determining the location of the sound source and the audio characteristics of the audio information of the in-vehicle environment; Based on the location of the sound source of the audio information, determining that the location of the sound source is a passenger; Based on the recognition of the audio features, characteristic information of the passenger is determined.

8. The method according to claim 1, wherein: Determining that the passenger belongs to a target object based on the characteristic information of the passenger, and generating first prompt information for prompting that the target object is in the vehicle, including: Based on the characteristic information of the passenger, determining that the passenger belongs to a target object, and determining a target lighting effect for prompting that the target object is in the vehicle; Based on the pre-stored correspondence between different lighting effects and the switch states of the various light-emitting devices outside the vehicle, determining the target switch state of each of the light-emitting devices corresponding to the target lighting effect; The first prompt information is generated to indicate that the light emitting device complies with the target switch state.

9. The method according to claim 1, wherein: Determining that the passenger belongs to a target object based on the characteristic information of the passenger, and generating first prompt information for prompting that the target object is in the vehicle, including: Based on the characteristic information of the passenger, determining that the passenger belongs to a target object, and generating a prompting picture for prompting that the target object is in the vehicle; The first prompt information for causing a screen outside the vehicle to display the prompt screen is generated.

10. A vehicle cabin driving status prompting device, comprising: The first information acquisition module is used to acquire characteristic information of the current vehicle interior environment; A first information determining module, configured to determine characteristic information of a passenger in the vehicle based on the characteristic information of the in-vehicle environment acquired by the first information acquiring module; The first information generating module is used to determine that the passenger belongs to a target object based on the feature information of the passenger determined by the first information determining module, and to generate first prompt information for prompting the vehicle that the target object is present in the vehicle, so that the vehicle displays the first prompt information.

11. A computer-readable storage medium storing a computer program, wherein the computer program is used to execute the in-vehicle cabin driving status prompt method as described in any one of claims 1 to 9.

12. An electronic device, comprising: processor; a memory for storing instructions executable by the processor; The processor is used to read the executable instructions from the memory and execute the instructions to implement the in-vehicle cabin driving status prompt method described in any one of claims 1-9 above.

Images