Vehicle window control method and device, storage medium and vehicle

Abstract

The invention relates to a vehicle window control method and device, a storage medium and a vehicle and relates to the technical field of vehicles, and the method comprises the steps that a target scene of a user using a display device is recognized, and under the condition that a scene recognition result in a vehicle cabin is the target scene, whether a preset object exists in a designated range outside the vehicle cabin or not is judged, and under the condition that the preset object exists in the specified range, the light transmittance of the vehicle window is adjusted. According to the technical scheme, the content displayed by the display device in the vehicle is kept secret for the object outside the vehicle, the privacy requirement of a user is met, and the driving experience of the user is improved.

Description

Technical Field

[0001] The present disclosure relates to the field of vehicle technology, and in particular to a vehicle window control method, device, storage medium and vehicle. Background Art

[0002] As vehicles become more intelligent, they can perform more and more functions. For example, in the vehicle cabin, they can play movies, play KTV and other entertainment functions.

[0003] When users engage in entertainment activities in a vehicle cabin, they often have a need for privacy. For example, when playing a video in the vehicle cabin, the user does not want people outside the vehicle to see the video content playing in the cabin.

[0004] Currently, there is a solution for using dimming glass in vehicles. In this solution, users can control the change of light transmittance of the window glass through voice commands. However, this method requires users to actively adjust according to their own needs, which increases user operating costs and affects user driving experience. Summary of the invention

[0005] In view of the above problems, the present disclosure provides a vehicle window control method, device, storage medium and vehicle to solve the technical problems that the current method of controlling the light transmittance of the vehicle window glass by voice commands by users has high operation cost and affects the driving experience. The technical solution is as follows:

[0006] In a first aspect, an embodiment of the present disclosure provides a vehicle window control method, comprising:

[0007] performing scene recognition according to first environmental perception information in the vehicle cabin to determine a scene recognition result in the vehicle cabin;

[0008] In the case where the scene recognition result is a target scene, judging whether there is a preset object within a specified range outside the vehicle cabin according to the second environment perception information outside the vehicle cabin; wherein the target scene includes a scene where a user uses a display device;

[0009] When the preset object exists within the specified range, the light transmittance of the vehicle window is adjusted.

[0010] Optionally, performing scene recognition according to the first environmental perception information in the vehicle cabin to determine a scene recognition result in the vehicle cabin includes:

[0011] Acquiring operating status information of the display device;

[0012] In a case where the running status information indicates that the display device is running a specified application, determining that the scene recognition result is the target scene;

[0013] and / or,

[0014] Capturing images of the environment in the vehicle cabin to obtain an image of the cabin environment;

[0015] Performing image recognition on the in-cabin environment image to determine user behavior in the in-cabin environment image;

[0016] In a case where the user behavior indicates that the user uses a display device, the scene recognition result is determined to be the target scene.

[0017] Therefore, scene recognition based on the operating status information of the display device can be applied to the vehicle-mounted display device in the vehicle cabin. The operating status information indicates whether the display device is running a specified application, and the scenario in which the user uses the vehicle-mounted display device can be accurately identified. Scene recognition based on the environmental image within the cabin can be applied to the display device carried by the user. Whether the user behavior in the environmental image within the cabin indicates that the user is using the display device, the scenario in which the user uses the carried display device can be accurately identified, thereby improving the recognition accuracy of the target scene.

[0018] Optionally, judging whether there is a preset object within a specified range outside the vehicle cabin according to the second environment perception information outside the vehicle cabin includes:

[0019] Determine the relative position information between the current vehicle and the preset object according to the second environment perception information;

[0020] According to the relative position information, it is determined whether the preset object exists within the specified range. Thus, the specified range can accurately determine the area where the display device inside the vehicle can be seen by people outside the vehicle. The relative position information can be used to determine whether the preset object is within the specified range. If the person outside the vehicle is close but in a blind spot where the display device inside the vehicle cannot be seen, it will not be determined that the window control is required, which further improves the accuracy of the window control.

[0021] Optionally, the preset object exists within the specified range, including:

[0022] Get the distance threshold;

[0023] When the distance between the preset object and the current vehicle is less than or equal to the distance threshold, it is determined that the preset object exists within the specified range.

[0024] Optionally, obtaining the distance threshold includes:

[0025] Querying a preset relationship according to the position information of the preset object relative to the current vehicle to obtain a distance threshold corresponding to the position information;

[0026] and / or,

[0027] Acquire third environmental perception information, and determine a distance threshold corresponding to the third environmental perception information.

[0028] Therefore, in view of the differences in field of view when looking into the vehicle cabin from different directions and / or different environments, different distance thresholds are set for different directional information and / or environmental perception information, and whether to adjust the window transmittance is further determined based on the distance threshold, thereby improving the adjustment accuracy.

[0029] Optionally, the third environmental perception information includes at least one of light intensity, weather type, and current time information, and determining a distance threshold corresponding to the third environmental perception information includes:

[0030] Determine a distance threshold corresponding to the light intensity according to the magnitude relationship between the light intensity and the light intensity threshold; wherein the distance threshold when the light intensity is less than the light intensity threshold is greater than the distance threshold when the light intensity is greater than or equal to the light intensity threshold;

[0031] and / or,

[0032] According to the weather type, determining a distance threshold corresponding to the weather type; wherein the distance threshold when the weather type is sunny is greater than the distance threshold when the weather type is not sunny;

[0033] and / or,

[0034] According to the time period of the current time information, a distance threshold corresponding to the current time information is determined; wherein the distance threshold when the current time information is in the night time period is greater than the distance threshold when the current time information is in the day time period.

[0035] Therefore, the currently used distance threshold is determined according to the light intensity, weather type, and current time information. This can more accurately determine the currently used threshold in view of the fact that there are differences in the distances at which people outside the vehicle can clearly see the display device inside the vehicle under different lighting conditions, different weather types, and different time periods. Further, based on the distance threshold, it can be determined whether the window transmittance needs to be adjusted, thereby improving the adjustment accuracy.

[0036] Optionally, adjusting the light transmittance of the vehicle window includes:

[0037] According to the position information of the preset object relative to the current vehicle, determining a target window matching the position information from all windows of the current vehicle;

[0038] An adjustment instruction is generated to reduce the light transmittance of the target vehicle window through the adjustment instruction.

[0039] Therefore, the windows that may affect the user's privacy are determined by the position information of the preset object relative to the current vehicle, and then the transmittance of only the windows that may affect the user's privacy is adjusted without adjusting the transmittance of all the windows, thereby improving control accuracy and enhancing user experience.

[0040] In a second aspect, an embodiment of the present disclosure provides a vehicle window control device, comprising:

[0041] an identification module, configured to perform scene identification according to first environmental perception information in a vehicle cabin, so as to determine a scene identification result in the vehicle cabin;

[0042] a judgment module, configured to judge, when the scene recognition result is a target scene, whether there is a preset object within a specified range outside the vehicle cabin according to the second environment perception information outside the vehicle cabin; wherein the target scene includes a scene where a user uses a display device;

[0043] The control module is used to adjust the light transmittance of the vehicle window when the preset object exists within the specified range.

[0044] In a third aspect, an embodiment of the present disclosure provides a vehicle, comprising: a processor; a memory for storing executable instructions of the processor; the processor is used to read the executable instructions from the memory and execute the instructions to implement the window control method described in the first aspect above.

[0045] In a fourth aspect, an embodiment of the present disclosure provides a computer-readable storage medium, wherein the storage medium stores a computer program, and when the computer program is executed by a processor, the vehicle window control method described in the first aspect is implemented.

[0046] Through the above technical scheme, the present disclosure provides a vehicle window control method, device, storage medium and vehicle, which recognize the target scene of the user using the display device to watch movies, play games and other activities. When the scene recognition result in the vehicle cabin is the target scene, it is determined whether there is a preset object within the specified range outside the vehicle cabin. When the preset object exists within the specified range, the window transmittance is adjusted. Therefore, by adjusting the window transmittance, the content displayed by the display device in the vehicle is kept confidential from the objects outside the vehicle, which meets the user's privacy needs and improves the user's driving experience. In addition, scene recognition is performed through the environmental perception information in the vehicle cabin. It can accurately identify the target scene where the user uses the display device to watch movies, play games and other activities, and judge whether there is a preset object within the specified range outside the vehicle cabin through the environmental perception information outside the vehicle cabin, and determine whether there is a risk of objects outside the vehicle seeing the content on the display device in the cabin, and then determine whether to make adjustments through scene recognition and object judgment. When the user uses the display device to watch movies, play games and other activities and there are objects outside the vehicle that can see the content on the display device, it can automatically adjust the window transmittance for privacy protection without the user's active adjustment, simplifying user operations and improving vehicle control accuracy and vehicle intelligence.

[0047] The above description is only an overview of the technical solution of the present disclosure. In order to more clearly understand the technical means of the present disclosure, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present disclosure more obvious and easy to understand, the specific implementation methods of the present disclosure are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present disclosure. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0049] Figure 1 A schematic flow chart of a vehicle window control method provided by an embodiment of the present disclosure is shown;

[0050] Figure 2 A schematic diagram showing a flow chart of another vehicle window control method provided by an embodiment of the present disclosure;

[0051] Figure 3 A schematic diagram showing a specified range provided by an embodiment of the present disclosure;

[0052] Figure 4 A schematic diagram showing another specified range provided by an embodiment of the present disclosure;

[0053] Figure 5 A schematic diagram showing a flow chart of another vehicle window control method provided by an embodiment of the present disclosure;

[0054] Figure 6 A schematic diagram of a process flow of an application scenario provided by an embodiment of the present disclosure is shown;

[0055] Figure 7 A schematic structural diagram of a vehicle control device provided by an embodiment of the present disclosure is shown;

[0056] Figure 8 A schematic structural diagram of a vehicle provided by an embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0057] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0058] At present, there are more and more functions that vehicles can realize. When users are doing entertainment activities such as watching movies in the vehicle cabin, they often have a demand for privacy. In the related technology, the vehicle is equipped with dimming glass, and the user can control the light transmittance of the window glass through voice commands to meet the user's privacy needs. However, this method requires the user to actively adjust according to their own needs. For example, when the user plays a video in the vehicle cabin, if he does not want the outside of the vehicle to see the video content played in the cabin, the user needs to control the light transmittance of the window glass by voice, and there is not always a risk that the outside of the vehicle can see the video content played in the cabin. When there are no other people around the vehicle, there is no need for privacy protection. If the above-mentioned user active control method is adopted, the user needs to pay attention to whether the light transmittance of the window glass needs to be changed at all times, which increases the user's operating cost and affects the user's driving experience. Therefore, a window control method is needed to solve the technical problems that the current user controls the light transmittance of the window glass through voice commands, which has high operating costs and affects the driving experience. Figure 1 This is a flow chart of a vehicle window control method provided in an embodiment of the present disclosure. The method provided in an embodiment of the present disclosure can be executed by a vehicle window control device, which can be implemented using software and / or hardware and can be integrated on any electronic device with computing capabilities.

[0059] like Figure 1 As shown, the vehicle window control method provided by the embodiment of the present disclosure may include:

[0060] Step 101 , performing scene recognition based on first environmental perception information in a vehicle cabin to determine a scene recognition result in the vehicle cabin.

[0061] In this embodiment, the vehicle is provided with an environment perception module, which collects data about the environment inside and outside the vehicle cabin through various sensors and devices to obtain environment perception information, wherein the environment perception information includes first environment perception information in the vehicle cabin, which is obtained by collecting data in the vehicle cabin. Then, scene recognition is performed based on the first environment perception information in the vehicle cabin to determine the scene recognition result in the vehicle cabin.

[0062] Among them, the scene recognition result includes at least a preset target scene, and the target scene includes a scene in which the user uses the display device. As an example, the display device includes an on-board display device set in the vehicle cabin and a display device carried by the user. The scene in which the user uses the display device includes but is not limited to a scene in which the user uses the display device to watch film and television resources, a scene in which the user uses the display device to play games, a scene in which the user uses the display device to read novels, and a scene in which the user uses the display device to browse the web. Therefore, by identifying the scene in which the user uses the display device, it is convenient to further determine whether privacy protection is required in the scene in which the user uses the display device, thereby improving the user's driving experience.

[0063] The scene recognition process is described below.

[0064] In one embodiment of the present disclosure, scene recognition is performed based on the first environmental perception information in the vehicle cabin to determine the scene recognition result in the vehicle cabin, including: obtaining the running status information of the display device, judging whether the display device is running a specified application based on the running status information, and determining the scene recognition result as the target scene when the running status information indicates that the display device is running the specified application. The running status information is used to indicate the running status of the application, and the running status information can be obtained by monitoring the application running on the display device. For example, when a user uses the display device to watch a film or TV resource, it can be monitored that the display device is running a video playback application, and when a user uses the display device to play a game, it can be monitored that the display device is running a game application.

[0065] As an example, taking the vehicle-mounted display device as an example, the vehicle-mounted display device includes a front display screen in the vehicle cabin and a rear display screen in the vehicle cabin. When a user uses the rear display screen to play film and television resources, by obtaining the operating status information of the rear display screen and judging that the display device runs a video playback application based on the operating status information, it can be determined that the current scene is a scene in which the user uses the display device to watch film and television resources, that is, the scene recognition result is determined to be the target scene.

[0066] As another example, when a user uses the rear display screen to play games, by obtaining the operating status information of the rear display screen and determining that the display device is running a game application based on the operating status information, it can be determined that the current scene is a scene in which the user uses the display device to play games, that is, the scene recognition result is determined to be the target scene.

[0067] Therefore, scene recognition based on the operating status information of the display device can be applied to the vehicle-mounted display device in the vehicle cabin. The operating status information indicates whether the display device is running a specified application, which can accurately identify the scenario in which the user uses the vehicle-mounted display device and improve the recognition accuracy of the target scene.

[0068] In one embodiment of the present disclosure, scene recognition is performed based on first environmental perception information in a vehicle cabin to determine a scene recognition result in the vehicle cabin, including: capturing images of the environment in the vehicle cabin through a camera provided in the vehicle cabin to obtain an image of the cabin environment, and performing image recognition on the image of the cabin environment to determine user behavior in the image of the cabin environment, and judging whether the user uses a display device based on the user behavior, and then determining the scene recognition result as a target scene when the user behavior indicates that the user uses the display device. A camera is provided in the vehicle cabin, and the camera includes, for example, a front-row camera and a rear-row camera, the front-row camera is used to capture images of the front seat area in the vehicle cabin, and the rear-row camera is used to capture images of the rear seat area in the vehicle cabin.

[0069] In this embodiment, a pre-trained image recognition model can be used to perform image recognition processing on the cabin environment image to determine the user and user behavior in the cabin environment image. Optionally, the image recognition model is implemented based on machine learning and deep learning. For example, the image recognition model is constructed based on a target detection algorithm and an image classification algorithm. The target detection algorithm is used to perform target detection on the cabin environment image to determine the user in the cabin environment image and the area where the user is located in the cabin environment image. The image classification algorithm is used to classify the area where the user is located in the cabin environment image to determine the user behavior of the user. The user behavior output by the image recognition model includes, for example, the user uses the display device and the user does not use the display device. Based on the model training process, the target detection algorithm can be implemented using a related algorithm for target detection of personnel. For the image classification algorithm, the training samples of the model include sample images, and the sample images are correspondingly labeled with the behavior of the personnel in the sample images. In this training process, the behavior of personnel using display devices to watch movies, TV series, games, etc. can be used as positive samples, and the behavior of other personnel not using display devices can be used as negative samples for model training to obtain the above-mentioned pre-trained image recognition model.

[0070] As an example, taking the display device carried by the user as an example, the display device carried by the user includes a user mobile terminal, a portable display device, etc. When the rear-seat user uses the display device to play film and television resources, the rear-seat environment image in the cabin is collected through the rear-seat camera arranged in the vehicle cabin, and the rear-seat environment image in the cabin is input into the pre-trained image recognition model for processing. It is determined that there is a user in the rear-seat environment image in the cabin, and the user behavior indicates that the user uses the display device. It can be determined that the current scene is a scene in which the user uses the display device, that is, the scene recognition result is determined to be the target scene.

[0071] Therefore, scene recognition based on the in-cabin environment image can be applied to the display device carried by the user. By determining whether the user behavior in the in-cabin environment image indicates that the user is using the display device, the scenario in which the user uses the carried display device can be accurately identified, thereby improving the recognition accuracy of the target scene.

[0072] Step 102 , when the scene recognition result is a target scene, determine whether there is a preset object within a specified range outside the vehicle cabin based on the second environment perception information outside the vehicle cabin.

[0073] In this embodiment, when the scene recognition result is a target scene, second environmental perception information outside the vehicle cabin is further obtained, and based on the second environmental perception information outside the vehicle cabin, it is determined whether there is a preset object within a specified range outside the vehicle cabin, wherein the specified range may be predetermined, and the shape of the specified range may be a circular area around the vehicle or a fan-shaped area on one side of the vehicle. The preset object may be an object that has an impact on the privacy of users in the vehicle cabin, and the preset objects may include, for example, vehicles and pedestrians.

[0074] Optionally, the environmental perception information acquired by the environmental perception module also includes second environmental perception information outside the vehicle cabin. The second environmental perception information outside the vehicle cabin is obtained by collecting data outside the vehicle cabin. For example, the vehicle is equipped with a camera and a radar sensor. The camera is used to capture images of the environment outside the vehicle cabin to obtain an image of the environment outside the cabin. The radar sensor is used to transmit electromagnetic waves to the environment outside the vehicle cabin and receive reflected waves to obtain detection results of the environment outside the cabin.

[0075] It should be noted that, when the scene recognition result is a target scene, the camera and radar sensor can be controlled to obtain the second environment perception information, or the vehicle can be set to obtain the second environment perception information in real time, and when the scene recognition result is a target scene, a call to obtain the second environment perception information is started. In this embodiment, there is no specific restriction on the implementation method of obtaining the second environment perception information.

[0076] The following is an example of determining whether there is a preset object within a specified range outside the vehicle cabin.

[0077] In one embodiment of the present disclosure, the relative position information between the current vehicle and the surrounding preset objects is determined based on the second environment perception information, and then, based on the relative position information, it is determined whether there is a preset object within a specified range.

[0078] As an example, the environment outside the vehicle cabin is captured by a camera to obtain an image of the environment outside the cabin, and the image of the environment outside the cabin is detected by an image recognition algorithm to determine whether there is a preset object in the image of the environment outside the cabin. The implementation method based on the image recognition algorithm detection can be implemented by using relevant image recognition technology. Furthermore, when the presence of the preset object is detected, the radar emits electromagnetic waves and receives reflected waves to detect the distance, speed and other information of the preset object relative to the current vehicle, thereby further determining the relative position information of the preset object. In this example, the relative position information includes azimuth information and distance, wherein the azimuth information is used to indicate the direction of the preset object in the current vehicle, and the distance refers to the distance of the preset object relative to the current vehicle. Therefore, through the relative position information, it can be determined whether the preset object is within the specified range, so that the specified range set according to actual needs can be used for determination. Compared with the method of simply determining based on the distance, the specified range can accurately determine the area where the person outside the vehicle can see the display device in the vehicle, and for the situation where the person outside the vehicle is close but in a blind spot where the display device in the vehicle cannot be seen, it will not be determined that the window control is required, thereby further improving the window control accuracy.

[0079] Step 103: If there is a preset object within the specified range, adjust the light transmittance of the vehicle window.

[0080] In this embodiment, if the scene recognition result is a target scene, and there is a preset object within a specified range outside the vehicle cabin, it is determined that privacy protection is required, and the window transmittance is adjusted at this time. Optionally, the vehicle is provided with a control module and an adjustment module, the control module sends an adjustment instruction to the adjustment module, and the adjustment module adjusts the window transmittance in response to the adjustment instruction to reduce the window transmittance to prevent the preset object outside the vehicle cabin from being able to see into the cabin, thereby protecting privacy in the scene where the user uses the display device and improving the user's driving experience.

[0081] Optionally, after lowering the window transmittance, if it is detected that the scene recognition result in the vehicle cabin has changed, or the preset object has left a specified range, the window transmittance is adjusted to restore the window transmittance to normal transmittance.

[0082] There are many ways to adjust the transmittance of the car window. Optionally, electrochromic glass, liquid crystal dimming film and other technologies can be used to adjust the one-way transmittance through the optical properties of the car window glass. For example, electrochromic glass can change color when powered on, thereby reducing transmittance. For another example, liquid crystal dimming film can change the arrangement of liquid crystal molecules by controlling voltage to achieve changes in transmittance.

[0083] According to the technical solution of the embodiment of the present disclosure, by identifying the target scene of the user using the display device to watch movies, play games and other activities, when the scene recognition result in the vehicle cabin is the target scene, it is determined whether there is a preset object within the specified range outside the vehicle cabin, and when the preset object exists within the specified range, the window transmittance is adjusted. Therefore, by adjusting the window transmittance, the confidentiality of the content displayed by the user using the display device from the object outside the vehicle is achieved, the privacy needs of the user are met, and the user's driving experience is improved. In addition, by performing scene recognition through the environmental perception information in the vehicle cabin, it is possible to accurately identify the target scene of the user using the display device to watch movies, play games and other activities, and to determine whether there is a preset object within the specified range outside the vehicle cabin through the environmental perception information outside the vehicle cabin, and to determine whether there is a risk of objects outside the vehicle seeing the content on the display device in the cabin, and then determine whether to adjust through scene recognition and object judgment. When the user uses the display device to watch movies, play games and other activities and there is an object outside the vehicle that can see the content on the display device, the window transmittance can be automatically adjusted for privacy protection without the need for the user to actively adjust, thereby simplifying the user operation and improving the vehicle control accuracy and vehicle intelligence.

[0084] In order to more clearly illustrate the technical solution provided by the embodiment of the present disclosure, Figure 2 A vehicle window control method provided by the present disclosure is further described. Figure 2 A flow chart of another vehicle window control method provided by an embodiment of the present disclosure is shown as follows: Figure 2 As shown, the method includes:

[0085] Step 201 , performing scene recognition based on first environmental perception information in a vehicle cabin to determine a scene recognition result in the vehicle cabin.

[0086] The explanation of step 101 in the above embodiment is also applicable to step 201 .

[0087] Step 202, when the scene recognition result is a target scene, determine the relative position information between the current vehicle and the surrounding preset objects according to the second environment perception information outside the vehicle cabin.

[0088] In this embodiment, the second environmental perception information is obtained by collecting data outside the vehicle cabin, for example, by collecting the second environmental perception information through a camera and a radar sensor. Then, based on the second environmental perception information, the relative position information between the current vehicle and the surrounding preset objects can be determined, wherein the relative position information includes direction information and distance.

[0089] Step 203: Obtain a distance threshold.

[0090] Step 204 , judging whether there is a preset object within a specified range outside the vehicle cabin according to the relative position information and the distance threshold between the current vehicle and the surrounding preset objects.

[0091] In this embodiment, the specified range is determined by a distance threshold. Before determining whether there is a preset object within the specified range, the distance threshold may be determined, wherein the distance threshold may be preset or determined based on relevant information.

[0092] In one embodiment of the present disclosure, the distance threshold is determined based on the position information of the preset object relative to the current vehicle and / or the third environment perception information. After the distance threshold is determined, the distance between the current vehicle and the surrounding preset objects is compared with the distance threshold to determine whether the preset object is within the specified range.

[0093] The distance threshold is described below.

[0094] In one embodiment of the present disclosure, a preset relationship is queried based on the position information of the preset object relative to the current vehicle to obtain a distance threshold corresponding to the position information, and then, when the distance between the preset object and the current vehicle is less than or equal to the distance threshold, it is determined that the preset object exists within the specified range.

[0095] In this embodiment, corresponding distance thresholds may be set in advance for different position information, and a preset relationship between the position information and the distance threshold may be established. The distance thresholds for different position information may be the same or different. Optionally, the position information of the current vehicle is divided into the left side of the vehicle, the right side of the vehicle, and the rear of the vehicle. The distance thresholds for the left side of the vehicle and the right side of the vehicle use distance value 1, and the distance threshold for the rear of the vehicle uses distance value 2, and distance value 2 is greater than or equal to distance value 1.

[0096] As an example, when the rear-seat users in the vehicle cabin watch film and television resources through the rear display screen, it is determined that the preset object is behind the current vehicle based on the second environmental perception information. Then, the distance between the preset object and the current vehicle and the distance threshold corresponding to the direction information behind the vehicle are compared. If the distance between the preset object and the current vehicle is less than or equal to the distance threshold, it is determined that the preset object exists within the specified range.

[0097] Therefore, in view of the difference in field of view when looking into the vehicle cabin from different directions, different distance thresholds are set for different azimuth information, and whether to adjust the window transmittance is further determined based on the distance threshold, thereby improving the adjustment accuracy.

[0098] In one embodiment of the present disclosure, third environmental perception information is obtained, and a distance threshold corresponding to the third environmental perception information is determined. Then, when the distance between the preset object and the current vehicle is less than or equal to the distance threshold, it is determined that the preset object exists within the specified range.

[0099] In this embodiment, corresponding distance thresholds can be set in advance for different third-environment perception information. The third-environment perception information is obtained by collecting data through various sensors and devices. For example, the third-environment perception information includes at least one of light intensity, weather type, and current time information. The light intensity is obtained through a light intensity sensor, and the current weather type and current time information are obtained through the vehicle-mounted system.

[0100] Among them, when the third environmental perception information adopts light intensity, the distance threshold corresponding to the light intensity is determined according to the size relationship between the light intensity and the light intensity threshold. Different light intensities can correspond to different distance thresholds. For example, the greater the light intensity, the closer the distance at which people outside the vehicle can clearly see the content displayed on the display device inside the vehicle, and the smaller the distance threshold can be set. Optionally, the distance threshold when the light intensity is less than the light intensity threshold is greater than the distance threshold when the light intensity is greater than or equal to the light intensity threshold. As an example, when the light intensity is less than the light intensity threshold, the distance threshold is determined to be a first distance value, and when the light intensity is greater than or equal to the light intensity threshold, the distance threshold is determined to be a second distance value. Among them, the first distance value is greater than the second distance value.

[0101] Among them, when the third environmental perception information adopts the weather type, the distance threshold corresponding to the weather type is determined according to the weather type. Different weather types can correspond to different distance thresholds. For example, the lighting conditions are better on sunny days. Compared with cloudy, overcast, rainy and other weather types, the farther the distance at which people outside the vehicle can see the content displayed on the display device in the vehicle, the larger the distance threshold is set. Optionally, the distance threshold when the weather type is sunny is greater than the distance threshold when the weather type is not sunny. As an example, when the weather type is sunny, the distance threshold is determined to be the third distance value, otherwise, the distance threshold is determined to be the fourth distance value. Among them, the third distance value is greater than the fourth distance value.

[0102] Among them, when the third environmental perception information adopts the current time information, the distance threshold corresponding to the current time information is determined according to the time period in which the current time information is located. Different time periods may correspond to different distance thresholds. For example, the brightness of the display device displaying content during the night time period is more obvious in the night environment. Compared with the daytime period, the farther the distance at which people outside the vehicle can clearly see the content displayed by the display device in the vehicle, the larger the distance threshold is set. Optionally, the distance threshold when the current time information is in the night time period is greater than the distance threshold when the current time information is in the daytime period.

[0103] As an example, when the current time information is in the night time period, the distance threshold is determined to be the fifth distance value, and when the current time information is in the day time period, the distance threshold is determined to be the sixth distance value, wherein the fifth distance value is greater than the sixth distance value.

[0104] It should be noted that the above-mentioned method of determining the distance threshold can be implemented individually or in combination. For example, when the corresponding distance threshold is determined based on the light intensity, weather type, and current time information, a default value of the distance threshold is set in advance, and correction values ​​are set corresponding to different light intensities, weather types, and current time information. The default value is corrected according to the correction value corresponding to the light intensity, weather type, and current time information to obtain a corrected distance threshold.

[0105] Therefore, in view of the differences in the field of vision when looking into the vehicle cabin in different environments, different distance thresholds are set for different environmental perception information. For example, the currently used distance threshold is determined according to the light intensity, weather type, and current time information. This can more accurately determine the currently used threshold for the situation that the distances at which people outside the vehicle can see the display device inside the vehicle are different under different lighting conditions, different weather types, and different time periods. It can further determine whether the window transmittance needs to be adjusted based on the distance threshold, thereby improving the adjustment accuracy.

[0106] In one embodiment of the present disclosure, a corresponding distance threshold is determined based on the orientation information of the preset object relative to the current vehicle and the third environmental perception information, and then, when the distance between the preset object and the current vehicle is less than or equal to the distance threshold, it is determined that the preset object exists within the specified range.

[0107] In this embodiment, different orientation information and third environmental perception information can obtain multiple combinations, and a corresponding distance threshold is set in advance for each combination. Optionally, the orientation information of the current vehicle is divided into the left side of the vehicle, the right side of the vehicle and the rear of the vehicle. The third environmental perception information includes at least one of light intensity, weather type, and current time information. Taking light intensity as an example, the orientation information is the left side of the vehicle and the light intensity is less than the light intensity threshold. The distance threshold adopts distance value three. The orientation information is the rear of the vehicle and the light intensity is less than the light intensity threshold. The distance threshold adopts distance value, and distance value three is less than or equal to distance value four.

[0108] As an example, see Figure 3 , Figure 3 A schematic diagram of a specified range outside a vehicle cabin is shown, in which 31 represents a vehicle-mounted display device, 32 represents a vehicle window, and when the light intensity is less than a light intensity threshold, the distance thresholds on the left and right sides of the vehicle are 4m, and the distance threshold behind the vehicle is 7m; when the light intensity is greater than or equal to the light intensity threshold, the distance thresholds on the left and right sides of the vehicle are 2m, and the distance threshold behind the vehicle is 4m.

[0109] As another example, refer to Figure 4 , Figure 4 A schematic diagram of another designated range outside a vehicle cabin is shown. When the light intensity is less than the light intensity threshold, the distance thresholds on the left and right sides of the vehicle are 5m, and the distance threshold behind the vehicle is 5m. The designated range is shown in part 42 of the reference figure. When the light intensity is greater than or equal to the light intensity threshold, the distance thresholds on the left and right sides of the vehicle are 2m, and the distance threshold behind the vehicle is 2m. The designated range is shown in part 41 of the reference figure.

[0110] Step 205: If there is a preset object within the specified range, adjust the light transmittance of the vehicle window.

[0111] Optionally, if there is a preset object within the specified range, a prompt message is generated to prompt the user to confirm whether to perform the light transmittance adjustment action, and in response to receiving the user's confirmation message for the prompt message, the light transmittance of the vehicle window is adjusted. The prompt message may be in the form of a voice prompt or a displayed text prompt, and the confirmation message may be in the form of a voice input, a key input, a gesture input, etc.

[0112] In the disclosed embodiment, different distance thresholds are used for different directions and different environments, and whether to adjust the light transmittance of the vehicle window is further determined based on the distance threshold, thereby improving the adjustment accuracy.

[0113] In order to more clearly illustrate the technical solution provided by the embodiment of the present disclosure, Figure 5 A vehicle window control method provided by the present disclosure is further described. Figure 5A flow chart of another vehicle window control method provided by an embodiment of the present disclosure is shown as follows: Figure 5 As shown, the method includes:

[0114] Step 501 , performing scene recognition based on first environmental perception information in the vehicle cabin to determine a scene recognition result in the vehicle cabin.

[0115] Step 502: When the scene recognition result is a target scene, determine whether there are vehicles and / or pedestrians within a specified range outside the vehicle cabin.

[0116] In this embodiment, the preset objects are vehicles and / or pedestrians.

[0117] As an example, when the current vehicle is in a driving state, the first relative position information between the current vehicle and other surrounding vehicles is determined based on the second environmental perception information. When the other vehicles have the same driving direction as the current vehicle, it is determined whether there are other vehicles within the specified range based on the first relative position information.

[0118] In this example, the first relative position information includes direction information and distance, and the second environmental perception information is obtained in real time through sensors outside the vehicle cabin, such as cameras and radars, to obtain the direction information and distance of other vehicles around the current vehicle, as well as the driving direction of other vehicles, so as to determine whether they are driving in the same direction, and whether there are other vehicles within a specified range outside the vehicle cabin. The driving state can be determined based on the gear position, vehicle speed, and navigation information. For example, when the vehicle is not in the P gear, it is determined that the vehicle is in a driving state. For example, when the vehicle speed is greater than zero, it is determined that the vehicle is in a driving state. For example, when the navigation information indicates that the vehicle is in a journey, it is determined that the vehicle is in a driving state.

[0119] As another example, when the current vehicle is in a parked state, second relative position information between the current vehicle and surrounding pedestrians is determined based on the second environmental perception information, and based on the second relative position information, it is determined whether there are pedestrians within the specified range.

[0120] In this example, the second relative position information includes direction information and distance. The parking status can be determined based on the gear position and / or vehicle speed. For example, when the vehicle is in P gear, it is determined that the vehicle is in a parking state. For another example, when the vehicle speed is zero, it is determined that the vehicle is in a parking state.

[0121] In this way, it is possible to detect whether there is a vehicle within the specified range when the vehicle is in a driving state, and to detect whether there are pedestrians within the specified range when the vehicle is in a parked state. The preset objects that need to be detected are determined according to the vehicle state, thereby reducing the amount of data processing. Further, when the corresponding preset objects are detected within the specified range, the transmittance is adjusted, thereby improving the adjustment accuracy.

[0122] Step 503 : when there are vehicles and / or pedestrians within the specified range, determine the target window to be adjusted, and adjust the light transmittance of the target window.

[0123] In this embodiment, when there is a preset object within the specified range, according to the position information of the preset object relative to the current vehicle, a target window matching the position information is determined from all windows of the current vehicle, and then an adjustment instruction is generated to reduce the light transmittance of the target window through the adjustment instruction. Optionally, according to the position information of the preset object relative to the current vehicle, a window on the same side as the position information is determined as the target window matching the position information.

[0124] As an example, when the rear-seat user in the vehicle cabin is watching film or TV drama resources on the rear display screen, there is a pedestrian within the specified range outside the vehicle cabin. The pedestrian is on the right side of the vehicle. It is determined that the transmittance of the right side window of the vehicle needs to be adjusted, and an adjustment instruction is generated to reduce the transmittance of the right side window.

[0125] In the disclosed embodiment, the windows that may affect the privacy of the user are determined by the position information of a preset object relative to the current vehicle, and then the transmittance of only the windows that may affect the privacy of the user is adjusted without adjusting the transmittance of all the windows, thereby improving control accuracy and enhancing user experience.

[0126] Combine the following Figure 6 The method of the embodiment of the present disclosure is illustrated by examples and actual application scenarios.

[0127] For example, taking watching movies and TV series as an example, the vehicle is equipped with an environmental perception module, a scene recognition module, an adjustment module, and a control module. The environmental perception module obtains the current time information, weather type, and operating status information of the on-board display screen through the vehicle-mounted system in the cockpit, obtains the environment image in the cockpit through sensors in the cockpit such as cameras, and obtains the environment information outside the cockpit through sensors outside the cockpit such as cameras and radars, including the accompanying vehicle situation and the position of pedestrians. The scene recognition module determines whether the display device is being used to watch movies and TV series in the cockpit, and determines whether there are accompanying vehicles or pedestrians within the specified range outside the cockpit based on the information provided by the environmental perception module. The adjustment module is installed on the car window and adjusts the light transmittance of the car window according to the instructions of the control module. When the scene recognition module determines that privacy protection is required, the adjustment module reduces the light transmittance of the car window to keep the content of the car projection confidential from people outside the car. The control module receives the scene recognition result of the scene recognition module, and sends instructions to the adjustment module according to the scene recognition result to control the light transmittance adjustment of the vehicle window. Optionally, the control module can also be set according to the needs of the user, including actively adjusting the degree of light transmittance, turning on or off the privacy protection function, etc. For example, the user can make settings through the vehicle's central control screen or mobile terminal, including turning on or off the privacy protection function, actively adjusting the degree of light transmittance, etc. In addition, the user can set the trigger adjustment according to their own needs, such as actively setting the vehicle's following distance, the range of pedestrians approaching, etc.

[0128] Reference Figure 6 , through scene recognition, it is determined that when a user in the vehicle cabin uses a display device to play a video, the navigation information, gear position, and vehicle speed are used to determine whether the vehicle is in a driving state. When the vehicle is in a driving state, the vehicle conditions around the vehicle are identified through cameras and radars to determine whether there are other vehicles traveling in the same direction within the specified range. If there are other vehicles traveling in the same direction, the distance threshold for comparison is further determined based on the light intensity and direction information, and the distance between the other vehicles and the vehicle is compared with the distance threshold to determine whether privacy protection is required and adjust the transmittance of the corresponding window. When the vehicle is not in a driving state, the pedestrian conditions around the vehicle are identified through cameras and radars to determine whether there are pedestrians within the specified range. If there are pedestrians, the distance threshold for comparison is further determined based on the light intensity and direction information, and the distance between the pedestrians and the vehicle is compared with the distance threshold to determine whether privacy protection is required and adjust the transmittance of the corresponding window. Among them, the light intensity threshold is, for example, 20,000 lux. The specific value of the distance threshold when the vehicle is in a driving state can be referred to. Figure 3 The specific value of the distance threshold when the vehicle is not in driving state can be referred to Figure 4Optionally, when the vehicle is not in motion and the light intensity is less than the light intensity threshold, the light transmittance of all windows can be adjusted when adjustment is required to provide a privacy protection mode suitable for nighttime parking scenarios and enhance user experience.

[0129] Therefore, the window control method can be applied to various models, providing car owners with a safe and comfortable driving experience, and realizing the confidentiality of the in-car viewing content to people outside the car, with the advantages of real-time, accuracy, flexibility and safety. In practical applications, it can also be combined with vehicle intelligent technologies such as autonomous driving and smart cockpits. For example, the privacy protection function can be automatically turned on in the autonomous driving mode to ensure the privacy and safety of passengers in the car. For example, in the smart cockpit, the system can be linked with voice assistants, smart seats and other equipment to provide passengers with more personalized services, thereby further improving the vehicle's intelligence level and user experience.

[0130] In addition, if Figure 7 As shown, Figure 7 This is a structural schematic diagram of a vehicle window control device provided in an embodiment of the present disclosure. The vehicle window control device includes: an identification module 71, a judgment module 72, and a control module 73.

[0131] The recognition module 71 is used to perform scene recognition according to the first environmental perception information in the vehicle cabin to determine the scene recognition result in the vehicle cabin;

[0132] The judgment module 72 is used to judge whether there is a preset object within a specified range outside the vehicle cabin according to the second environment perception information outside the vehicle cabin when the scene recognition result is a target scene; wherein the target scene includes a scene where a user uses a display device;

[0133] The control module 73 is used to adjust the light transmittance of the vehicle window when there is a preset object within the specified range.

[0134] In a specific embodiment, the identification module 71 is specifically used for:

[0135] Obtaining operating status information of the display device; and determining that the scene recognition result is a target scene when the operating status information indicates that the display device is running a specified application;

[0136] and / or,

[0137] Capture images of the environment in the vehicle cabin to obtain an image of the cabin environment; perform image recognition on the image of the cabin environment to determine user behavior in the image of the cabin environment; and determine that the scene recognition result is a target scene when the user behavior indicates that the user uses a display device.

[0138] In a specific embodiment, the determination module 72 is specifically used to:

[0139] Determine the relative position information between the current vehicle and the preset object according to the second environment perception information;

[0140] According to the relative position information, determine whether there is a preset object within the specified range.

[0141] In a specific embodiment, the preset object exists within the specified range, including:

[0142] Get the distance threshold;

[0143] When the distance between the preset object and the current vehicle is less than or equal to the distance threshold, it is determined that the preset object exists within the specified range.

[0144] In a specific embodiment, obtaining the distance threshold includes:

[0145] Querying a preset relationship according to the position information of the preset object relative to the current vehicle to obtain a distance threshold corresponding to the position information;

[0146] and / or,

[0147] Acquire third environment perception information, and determine a distance threshold corresponding to the third environment perception information.

[0148] In a specific embodiment, the third environmental perception information includes at least one of light intensity, weather type, and current time information, and determining the distance threshold corresponding to the third environmental perception information includes:

[0149] Determine a distance threshold corresponding to the light intensity according to the magnitude relationship between the light intensity and the light intensity threshold; wherein the distance threshold when the light intensity is less than the light intensity threshold is greater than the distance threshold when the light intensity is greater than or equal to the light intensity threshold;

[0150] and / or,

[0151] According to the weather type, determining a distance threshold corresponding to the weather type; wherein the distance threshold when the weather type is sunny is greater than the distance threshold when the weather type is not sunny;

[0152] and / or,

[0153] According to the time period of the current time information, a distance threshold corresponding to the current time information is determined; wherein the distance threshold when the current time information is in the night time period is greater than the distance threshold when the current time information is in the day time period.

[0154] In a specific embodiment, the control module 73 is specifically used to:

[0155] According to the position information of the preset object relative to the current vehicle, determining a target window matching the position information from all windows of the current vehicle;

[0156] An adjustment instruction is generated to reduce the light transmittance of the target vehicle window through the adjustment instruction.

[0157] Regarding the device in the above embodiment, the specific manner in which each unit performs the operation has been described in detail in the embodiment of the method, and will not be elaborated here.

[0158] Figure 8 It is a structural schematic diagram of a vehicle provided in an embodiment of the present disclosure.

[0159] For example, Figure 8 As shown, the vehicle 800 includes: a memory 801 and a processor 802, wherein the memory 801 stores an executable program code 8011, and the processor 802 is used to call and execute the executable program code 8011 to perform the vehicle window control method.

[0160] In this embodiment, the functional modules of the vehicle can be divided according to the above method example. For example, each functional module can be corresponded, or two or more functions can be integrated into one processing module. The above integrated module can be implemented in the form of hardware. It should be noted that the division of modules in this embodiment is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0161] In the case of dividing each functional module according to each function, the vehicle may include: an identification module, a judgment module, a control module, and the like.

[0162] It should be noted that all relevant contents of each step involved in the above method embodiment can be referred to the functional description of the corresponding functional module, which will not be repeated here.

[0163] The vehicle provided in this embodiment is used to execute the above-mentioned window control method, and thus can achieve the same effect as the above-mentioned implementation method.

[0164] In the case of an integrated unit, the vehicle may include a processing module and a storage module. The processing module may be used to control and manage the actions of the vehicle. The storage module may be used to support the vehicle to execute mutual program codes and data.

[0165] The processing module may be a processor or a controller, which may implement or execute various exemplary logic blocks, modules and circuits disclosed in the present application. The processor may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of digital signal processing (DSP) and a microprocessor, etc. The storage module may be a memory.

[0166] This embodiment also provides a computer-readable storage medium, which stores computer program code (including but not limited to disk storage, CD-ROM, optical storage, etc.). When the computer program code runs on a computer, the computer executes the above-mentioned related method steps to implement a vehicle window control method provided in the above embodiment.

[0167] This embodiment also provides a computer program product. When the computer program product is run on a computer, the computer is enabled to execute the above-mentioned related steps to implement a vehicle window control method provided by the above embodiment.

[0168] Among them, the beneficial effects of the above embodiments can refer to the beneficial effects of the corresponding methods provided above, and will not be repeated here.

[0169] Through the description of the above implementation methods, technical personnel in the relevant field can understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0170] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of modules or units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be coupled or communicated, which can be electrical, mechanical or other forms.

[0171] In order to combine or be integrated into another device, or some features can be ignored or not performed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, devices or units. In the description of the present disclosure, it should be understood that if the terms "upper", "lower", "front", "back", "left" and "right" are involved, the orientation or position relationship indicated is based on the orientation or position relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the position or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present disclosure.

[0172] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. It should also be noted that the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0173] The above are only embodiments of the present disclosure and are not intended to limit the present disclosure. For those skilled in the art, the present disclosure may have various modifications and variations. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present disclosure shall be included in the scope of the claims of the present disclosure.

Claims

1. A vehicle window control method, characterized in that: The method comprises: performing scene recognition according to first environmental perception information in the vehicle cabin to determine a scene recognition result in the vehicle cabin; In the case where the scene recognition result is a target scene, judging whether there is a preset object within a specified range outside the vehicle cabin according to the second environment perception information outside the vehicle cabin; wherein the target scene includes a scene where a user uses a display device; When the preset object exists within the specified range, the light transmittance of the vehicle window is adjusted.

2. The method according to claim 1, characterized in that The performing scene recognition according to the first environmental perception information in the vehicle cabin to determine the scene recognition result in the vehicle cabin includes: Acquiring operating status information of the display device; In a case where the running status information indicates that the display device is running a specified application, determining that the scene recognition result is the target scene; and / or, Capturing images of the environment in the vehicle cabin to obtain an image of the cabin environment; Performing image recognition on the in-cabin environment image to determine user behavior in the in-cabin environment image; In a case where the user behavior indicates that the user uses a display device, the scene recognition result is determined to be the target scene.

3. The method according to claim 1, characterized in that The determining, based on the second environment perception information outside the vehicle cabin, whether there is a preset object within a specified range outside the vehicle cabin includes: Determine the relative position information between the current vehicle and the preset object according to the second environment perception information; It is determined whether the preset object exists within the specified range according to the relative position information.

4. The method according to claim 1, characterized in that The preset object exists within the specified range, including: Get the distance threshold; When the distance between the preset object and the current vehicle is less than or equal to the distance threshold, it is determined that the preset object exists within the specified range.

5. The method according to claim 4, characterized in that The obtaining of the distance threshold comprises: Querying a preset relationship according to the position information of the preset object relative to the current vehicle to obtain a distance threshold corresponding to the position information; and / or, Acquire third environmental perception information, and determine a distance threshold corresponding to the third environmental perception information.

6. The method according to claim 5, characterized in that The third environmental perception information includes at least one of light intensity, weather type, and current time information, and determining a distance threshold corresponding to the third environmental perception information includes: Determine a distance threshold corresponding to the light intensity according to the magnitude relationship between the light intensity and the light intensity threshold; wherein the distance threshold when the light intensity is less than the light intensity threshold is greater than the distance threshold when the light intensity is greater than or equal to the light intensity threshold; and / or, According to the weather type, determining a distance threshold corresponding to the weather type; wherein the distance threshold when the weather type is sunny is greater than the distance threshold when the weather type is not sunny; and / or, According to the time period of the current time information, a distance threshold corresponding to the current time information is determined; wherein the distance threshold when the current time information is in the night time period is greater than the distance threshold when the current time information is in the day time period.

7. The method according to claim 1, characterized in that The method of adjusting the light transmittance of the vehicle window comprises: According to the position information of the preset object relative to the current vehicle, determining a target window matching the position information from all windows of the current vehicle; An adjustment instruction is generated to reduce the light transmittance of the target vehicle window through the adjustment instruction.

8. A vehicle window control device, characterized in that: include: an identification module, configured to perform scene identification according to first environmental perception information in a vehicle cabin, so as to determine a scene identification result in the vehicle cabin; a judgment module, configured to judge, when the scene recognition result is a target scene, whether there is a preset object within a specified range outside the vehicle cabin according to the second environment perception information outside the vehicle cabin; wherein the target scene includes a scene where a user uses a display device; The control module is used to adjust the light transmittance of the vehicle window when the preset object exists within the specified range.

9. A vehicle, characterized in that: include: 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 method described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the method described in any one of claims 1 to 7 is implemented.

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