Vehicle window control method and device, storage medium and vehicle

Abstract

The present disclosure relates to a vehicle window control method and device, a storage medium and a vehicle, and relates to the technical field of vehicles. The method comprises: identifying a target scene of a user using a display device; in a case where a scene recognition result in a vehicle cabin is the target scene, determining whether a preset object exists in a specified range outside the vehicle cabin; and in a case where the preset object exists in the specified range, adjusting a light transmittance of a vehicle window. According to the technical solution of the present disclosure, the content displayed by the display device in the vehicle is kept secret from the object outside the vehicle, the privacy needs of the user are met, and the driving experience of the user is improved.

Description

Technical Field

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

[0002] As vehicles become more intelligent, they can perform more and more functions, such as playing movies and having in-car karaoke.

[0003] Users often have privacy needs when engaging in entertainment activities inside the vehicle cabin. For example, when playing videos inside the vehicle cabin, users do not want the video content being played to be seen from outside the vehicle.

[0004] Currently, there are solutions for using dimmable glass in vehicles. In this solution, users can control the light transmittance of the car window glass through voice commands. However, this method requires users to actively adjust according to their own needs, which increases the user's operating cost and affects the user's driving experience. Summary of the Invention

[0005] In view of the above problems, this disclosure provides a method, device, storage medium, and vehicle for controlling vehicle windows, to solve the technical problems of high operating costs and negative impact on the driving experience caused by current methods of controlling the light transmittance of vehicle windows via voice commands. The technical solution is as follows:

[0006] In a first aspect, embodiments of this disclosure provide a method for controlling vehicle windows, including:

[0007] Scene recognition is performed based on the first environmental perception information inside the vehicle cabin to determine the scene recognition result inside the vehicle cabin;

[0008] If the scene recognition result is a target scene, the system determines whether a preset object exists within a specified range outside the vehicle cabin based on the second environmental perception information outside the vehicle cabin; wherein, the target scene includes a scene where the user uses the display device;

[0009] If the preset object exists within the specified range, adjust the light transmittance of the car window.

[0010] Optionally, the step of performing scene recognition based on the first environmental perception information within the vehicle cabin to determine the scene recognition result within the vehicle cabin includes:

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

[0012] When the running status information indicates that the display device is running a specified application, the scene recognition result is determined to be the target scene;

[0013] And / or,

[0014] The environment inside the vehicle cabin is captured to obtain images of the cabin environment.

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

[0016] When the user's behavior indicates that the user is using the display device, the scene recognition result is determined to be the target scene.

[0017] Therefore, scene recognition based on the operating status information of display devices can be applied to in-vehicle display devices in the vehicle cabin. By indicating whether the display device is running a specified application through the operating status information, the scene in which the user uses the in-vehicle display device can be accurately identified. Similarly, scene recognition based on images of the cabin environment can be applied to display devices carried by the user. By indicating whether the user's behavior in the images of the cabin environment indicates whether the user is using the display device, the scene in which the user uses the carried display device can be accurately identified, thus improving the accuracy of target scene recognition.

[0018] Optionally, determining whether a preset object exists within a specified range outside the vehicle cabin based on second environmental perception information outside the vehicle cabin includes:

[0019] The relative position information between the current vehicle and the preset object is determined based on the second environmental perception information;

[0020] Based on the relative position information, it is determined whether the preset object exists within the specified range. Therefore, using the specified range accurately determines the area where people outside the vehicle can see the in-vehicle display device. The relative position information determines whether the preset object is within the specified range. In cases where people outside the vehicle are close but in a blind spot where they cannot see the in-vehicle display device, window control is not required, further improving the accuracy of window control.

[0021] Optionally, the existence of the preset object within the specified range includes:

[0022] Obtain the distance threshold;

[0023] 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.

[0024] Optionally, obtaining the distance threshold includes:

[0025] Based on the location information of the preset object relative to the current vehicle, a preset relationship is queried to obtain a distance threshold corresponding to the location information;

[0026] And / or,

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

[0028] Therefore, considering the differences in field of vision 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. Furthermore, based on these distance thresholds, it is determined whether to adjust the window light transmittance, thus 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 the distance threshold corresponding to the third environmental perception information includes:

[0030] Based on the relationship between the light intensity and the light intensity threshold, a distance threshold corresponding to the light intensity is determined; 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] Based on the weather type, a distance threshold corresponding to the weather type is determined; 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] Based on the time period in which the current time information is located, a distance threshold corresponding to the current time information is determined; wherein, the distance threshold when the current time information is in a nighttime period is greater than the distance threshold when the current time information is in a daytime period.

[0035] Therefore, by determining the current distance threshold based on light intensity, weather type, and current time information, the system can more accurately determine the current threshold, taking into account the differences in the distance at which people outside the vehicle can clearly see the display device inside the vehicle under different lighting conditions, weather types, and time periods. Furthermore, based on this distance threshold, the system can determine whether the window transmittance needs to be adjusted, thus improving the adjustment accuracy.

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

[0037] Based on the orientation information of the preset object relative to the current vehicle, a target window that matches the orientation information is determined from all windows of the current vehicle;

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

[0039] Therefore, by using the preset positional information of the object relative to the current vehicle, the windows that affect user privacy can be identified. Then, only the light transmittance of the windows that affect user privacy can be adjusted, without having to adjust the light transmittance of all windows, thus improving control accuracy and enhancing user experience.

[0040] Secondly, embodiments of this disclosure provide a vehicle window control device, including:

[0041] The recognition module is used to perform scene recognition based on the first environmental perception information inside the vehicle cabin, so as to determine the scene recognition result inside the vehicle cabin.

[0042] The judgment module is used to determine whether a preset object exists within a specified range outside the vehicle cabin based on the second environmental perception information outside the vehicle cabin when the scene recognition result is a target scene; wherein, the target scene includes the scene of the user using the display device;

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

[0044] Thirdly, embodiments of this disclosure provide a vehicle, including: a processor; a memory for storing executable instructions of the processor; the processor being configured 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] Fourthly, embodiments of this disclosure provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the window control method described in the first aspect.

[0046] By employing the above technical solutions, this disclosure provides a vehicle window control method, device, storage medium, and vehicle. It identifies the target scene of a user's activities such as watching movies or playing games on a display device. If the scene recognition result within the vehicle cabin matches the target scene, it determines whether a preset object exists within a specified range outside the vehicle cabin. If the preset object exists within the specified range, it adjusts the window's light transmittance. Thus, by adjusting the window's light transmittance, it achieves the confidentiality of the content displayed on the vehicle's internal display device from objects outside the vehicle, satisfying the user's privacy needs, improving the user's driving experience, and further enhancing the driving experience through scene recognition using environmental perception information within the vehicle cabin. It can accurately identify the target scenario where the user is using the display device to watch movies, play games, or perform other activities. It can also determine whether there are preset objects within a specified range outside the vehicle cabin by using environmental perception information outside the vehicle cabin. It can determine whether there is a risk that objects outside the vehicle will see the content on the display device inside the cabin. Then, it can determine whether to make adjustments through scene recognition and object judgment. It can automatically adjust the light transmittance of the windows to protect privacy when the user is using the display device to watch movies, play games, or perform other activities and there are objects outside the vehicle that can see the content on the display device. No manual adjustment is required from the user, simplifying user operation and improving the accuracy of vehicle control and the level of vehicle intelligence.

[0047] The above description is merely an overview of the technical solution disclosed herein. In order to better understand the technical means of this disclosure and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this disclosure more apparent and understandable, specific embodiments of this disclosure are described below. Attached Figure Description

[0048] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the scope of this disclosure. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0049] Figure 1 A schematic flowchart of a vehicle window control method provided in an embodiment of this disclosure is shown;

[0050] Figure 2 A flowchart illustrating another window control method provided in an embodiment of this disclosure is shown;

[0051] Figure 3 A schematic diagram illustrating a specified range provided by an embodiment of this disclosure is shown;

[0052] Figure 4 A schematic diagram illustrating another specified scope provided by an embodiment of this disclosure is shown;

[0053] Figure 5 A flowchart illustrating another window control method provided in an embodiment of this disclosure is shown;

[0054] Figure 6 A flowchart illustrating an application scenario provided by an embodiment of this disclosure is shown;

[0055] Figure 7 A schematic diagram of the structure of a vehicle control device provided in an embodiment of this disclosure is shown;

[0056] Figure 8 A schematic diagram of the structure of a vehicle provided in an embodiment of this disclosure is shown. Detailed Implementation

[0057] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0058] Currently, vehicles offer increasingly diverse functions, and users often have privacy needs when engaging in entertainment activities such as watching movies inside the vehicle cabin. One related technology involves vehicles equipped with dimmable glass, allowing users to control the light transmittance of the windows via voice commands to meet their privacy requirements. However, this method requires users to actively adjust the settings according to their needs. For example, if a user wants to prevent the video playback from being seen from outside the vehicle, they need to control the window's light transmittance via voice. Furthermore, the risk of being seen from outside the vehicle is not always present; when there are no other people around, privacy protection is unnecessary. Using this user-controlled method requires users to constantly monitor whether the window's light transmittance needs to be changed, increasing operational costs and impacting the user's driving experience. Therefore, a window control method is needed to address the technical problems of high operational costs and negative impacts on the driving experience associated with current voice-controlled window light transmittance control. Figure 1 This is a flowchart illustrating a window control method provided in an embodiment of the present disclosure. The method provided in this embodiment can be executed by a window control device, which can be implemented in software and / or hardware and can be integrated into any electronic device with computing capabilities.

[0059] like Figure 1 As shown, the window control method provided in this embodiment may include:

[0060] Step 101: Perform scene recognition based on the first environmental perception information inside the vehicle cabin to determine the scene recognition result inside the vehicle cabin.

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

[0062] The scene recognition result includes at least a preset target scene, which includes scenarios where the user uses the display device. As an example, the display device includes an in-vehicle display device installed in the vehicle cabin and a user-carried display device. Scenarios where the user uses the display device include, but are not limited to, scenarios where the user uses the display device to watch movies or TV shows, play games, read novels, or browse the web. Therefore, by recognizing scenarios where the user uses the display device, it is possible to further determine whether privacy protection is needed in these scenarios, thereby improving the user's driving experience.

[0063] The scene recognition process is explained below.

[0064] In one embodiment of this disclosure, scene recognition is performed based on first environmental perception information within the vehicle cabin to determine the scene recognition result within the vehicle cabin. This includes: acquiring the operating status information of a display device; determining whether the display device is running a specified application based on the operating status information; and, if the operating status information indicates that the display device is running a specified application, determining the scene recognition result as the target scene. The operating status information is used to indicate the operating status of an application. This information can be obtained by monitoring the applications running on the display device. For example, when a user uses the display device to watch movies or TV shows, it can be detected that the display device is running a video playback application; when a user uses the display device to play games, it can be detected that the display device is running a game application.

[0065] As an example, taking in-vehicle display devices as an example, in-vehicle display devices include front-row display screens and rear-row display screens in the vehicle cabin. When a user plays movie and TV series resources on the rear-row display screen, by obtaining the operating status information of the rear-row display screen, and determining the video playback application running on the display device based on the operating status information, it can be determined that the current scene is the scene where the user uses the display device to watch movie and TV series resources, that is, the scene recognition result is determined as the target scene.

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

[0067] Therefore, scene recognition based on the operating status information of display devices can be applied to in-vehicle display devices in the vehicle cabin. By indicating whether the display device is running a specified application through the operating status information, the scene in which the user uses the in-vehicle display device can be accurately identified, thereby improving the accuracy of target scene recognition.

[0068] In one embodiment of this disclosure, scene recognition is performed based on first environmental perception information within the vehicle cabin to determine the scene recognition result within the vehicle cabin. This includes: acquiring images of the environment within the vehicle cabin using cameras installed within the vehicle cabin to obtain an image of the cabin environment; performing image recognition on the cabin environment image to determine user behavior within the cabin environment image; determining whether the user is using a display device based on the user behavior; and further, if the user behavior indicates that the user is using a display device, determining the scene recognition result as the target scene. The vehicle cabin is equipped with cameras, including, for example, front-row cameras and rear-row cameras. The front-row cameras are used to acquire images of the front seat area within the vehicle cabin, and the rear-row cameras are used to acquire images of the rear seat area within 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 images to determine the users and user behaviors in the cabin environment images. Optionally, the image recognition model is implemented based on machine learning and deep learning. For example, an image recognition model can be constructed based on object detection algorithms and image classification algorithms. The object detection algorithm is used to detect objects in the cabin environment images to determine the users in the cabin environment images and the areas where the users are located in the cabin environment images. The image classification algorithm is used to classify the areas where the users are located in the cabin environment images to determine the user behaviors. The user behaviors output by the image recognition model include, for example, whether the user is using the display device or not. Based on the model training process, the object detection algorithm can be implemented using relevant algorithms for object detection of people. For the image classification algorithm, the training samples of the model include sample images, and the sample images are labeled with the behaviors of the people in the sample images. In this training process, the behaviors of people using the display device to watch movies or play games can be used as positive samples, and the behaviors of other people who do not use the display device can be used as negative samples for model training to obtain the above-mentioned pre-trained image recognition model.

[0070] As an example, consider a user-carried display device, which includes a user's mobile terminal, portable display device, etc. When a rear-seat user uses their carried display device to play movies or TV shows, the rear-seat camera inside the vehicle's cabin captures images of the rear-seat environment. These images are then input into a pre-trained image recognition model for processing. By determining that a user exists in the rear-seat environment and that the user's behavior indicates the use of the display device, the model can identify the current scene as the user's use of the display device, thus confirming the scene recognition result as the target scene.

[0071] Therefore, scene recognition based on cockpit environment images can be applied to user-carried display devices. By observing whether user behavior in the cockpit environment images indicates that the user is using the display device, the scene in which the user is using the carried display device can be accurately identified, thus improving the accuracy of target scene recognition.

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

[0073] In this embodiment, when the scene recognition result is the target scene, the second environmental perception information outside the vehicle cabin is further obtained. 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. The specified range can be predetermined, and the shape of the specified range can be a circular area around the vehicle or a fan-shaped area on one side of the vehicle. The preset object can be an object that affects the privacy of the user inside the vehicle cabin. The preset object includes, 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 collect images of the environment outside the vehicle cabin to obtain images of the environment outside the cabin. The radar sensor is used to emit electromagnetic waves to the environment outside the vehicle cabin and receive reflected waves to obtain the detection results of the environment outside the cabin.

[0075] It should be noted that, when the scene recognition result is the target scene, the camera and radar sensor can be controlled to acquire the second environmental perception information. Alternatively, the vehicle can be set to acquire the second environmental perception information in real time and start to acquire the second environmental perception information when the scene recognition result is the target scene. In this embodiment, no specific restrictions are placed on the implementation method of acquiring the second environmental perception information.

[0076] The following example illustrates how to determine whether a preset object exists within a specified range outside the vehicle's cabin.

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

[0078] As an example, images of the environment outside the vehicle cabin are captured by a camera, resulting in an image of the external environment. An image recognition algorithm is then used to detect the presence of a pre-defined object within this image. This detection based on the image recognition algorithm can be implemented using relevant image recognition technologies. Furthermore, when a pre-defined object is detected, the radar emits electromagnetic waves and receives reflected waves to detect the object's distance and speed relative to the current vehicle, thereby further determining the object's relative position. In this example, the relative position information includes orientation and distance. Orientation indicates the direction the object is facing from the current vehicle, while distance refers to the object's distance relative to the vehicle. Thus, the relative position information allows for determination of whether the object is within a specified range. This allows for the use of a specified range, set according to actual needs. Compared to simply determining based on distance, using a specified range accurately identifies the area where people outside the vehicle can see the in-vehicle display. In cases where people outside the vehicle are close but in a blind spot where they cannot see the in-vehicle display, window control is not required, further improving window control accuracy.

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

[0080] In this embodiment, if the scene recognition result is a target scene, and a preset object exists within a specified range outside the vehicle cabin, it is determined that privacy protection is required, and the window transmittance is adjusted accordingly. Optionally, the vehicle is equipped with a control module and an adjustment module. The control module sends an adjustment command to the adjustment module, and the adjustment module responds to the adjustment command by adjusting the window transmittance to reduce the window transmittance, preventing the preset object outside the vehicle cabin from seeing into the cabin, thereby protecting privacy in scenarios where the user uses the display device and improving the user's driving experience.

[0081] Optionally, after reducing the window transmittance, if the scene recognition result inside the vehicle cabin changes or the preset object leaves the specified range, the window transmittance is adjusted to restore the window transmittance to normal transmittance.

[0082] There are several ways to adjust the light transmittance of car windows. Optionally, technologies such as electrochromic glass and liquid crystal dimming films can be used to adjust the light transmittance in one direction by utilizing the optical properties of the window glass. For example, electrochromic glass can change color when electricity is applied, thereby reducing light transmittance. Similarly, liquid crystal dimming films can change the arrangement of liquid crystal molecules by controlling voltage, thus altering the light transmittance.

[0083] According to the technical solution of this disclosure, by identifying the target scene of a user using a display device to watch movies, play games, etc., and if the scene recognition result inside the vehicle cabin is the target scene, it is determined whether there is a preset object within a specified range outside the vehicle cabin. If there is a preset object within the specified range, the light transmittance of the car window is adjusted. Thus, by adjusting the light transmittance of the car window, the confidentiality of the content displayed by the user using the display device is achieved to the outside of the vehicle, satisfying the user's privacy needs and improving the user's driving experience. Furthermore, by using environmental perception information inside the vehicle cabin for scene recognition, the target scene of the user using the display device to watch movies, play games, etc., can be accurately identified. By using environmental perception information outside the vehicle cabin to determine whether there is a preset object within a specified range outside the vehicle cabin, it is determined whether there is a risk that an outside object will see the content on the display device inside the cabin. Then, by using scene recognition and object judgment, it is determined whether to adjust. It can automatically adjust the light transmittance of the car window to protect privacy when the user is using the display device to watch movies, play games, etc., and there is an outside object that can see the content on the display device. No manual adjustment is required from the user, simplifying user operation and improving the accuracy of vehicle control and the level of vehicle intelligence.

[0084] To more clearly illustrate the technical solutions provided in the embodiments of this disclosure, the following is in conjunction with... Figure 2 This disclosure provides a further explanation of a vehicle window control method. Figure 2 This is a flowchart illustrating another window control method provided in an embodiment of this disclosure, as shown below. Figure 2 As shown, the method includes:

[0085] Step 201: Perform scene recognition based on the first environmental perception information inside the vehicle cabin to determine the scene recognition result inside the vehicle cabin.

[0086] The explanation of step 101 in the foregoing embodiments also applies to step 201.

[0087] Step 202: If the scene recognition result is the target scene, determine the relative position information between the current vehicle and the surrounding preset objects based on the second environmental perception information outside the vehicle cabin.

[0088] In this embodiment, the second environmental perception information is obtained by collecting data outside the vehicle cabin, such as through cameras and radar sensors. Then, based on the second environmental perception information, the relative position information between the current vehicle and surrounding preset objects can be determined. The relative position information includes orientation information and distance.

[0089] Step 203: Obtain the distance threshold.

[0090] Step 204: Based on the relative position information and distance threshold between the current vehicle and surrounding preset objects, determine whether there are preset objects within a specified range outside the vehicle cabin.

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

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

[0093] The distance threshold is explained below.

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

[0095] In this embodiment, corresponding distance thresholds can be preset for different directional information to establish a preset relationship between directional information and distance thresholds. The distance thresholds for different directional information can be the same or different. Optionally, the current vehicle's directional information is divided into the left side of the vehicle, the right side of the vehicle, and the rear of the vehicle. The distance threshold for the left side and the right side of the vehicle uses distance value one, and the distance threshold for the rear of the vehicle uses distance value two, where distance value two is greater than or equal to distance value one.

[0096] As an example, when rear-seat users in a vehicle are watching movies or TV shows on the rear-seat display screen, if the second environmental perception information determines that a preset object is behind the current vehicle, the distance between the preset object and the current vehicle is compared with a distance threshold corresponding to the location information behind the vehicle. If the distance between the preset object and the current vehicle is less than or equal to the distance threshold, it is determined that a preset object exists within the specified range.

[0097] Therefore, considering the difference in field of vision when looking into the vehicle cabin from different directions, different distance thresholds are set for different directional information, and the window light transmittance is further determined based on the distance threshold, thus improving the adjustment accuracy.

[0098] In one embodiment of this disclosure, third environmental perception information is obtained, a distance threshold corresponding to the third environmental perception information is determined, and then, 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 a specified range.

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

[0100] When the third environmental perception information uses light intensity, a distance threshold corresponding to the light intensity is determined based on the relationship between the light intensity and a light intensity threshold. Different light intensities can correspond to different distance thresholds. For example, the greater the light intensity, the closer a person outside the vehicle can see the content displayed on the vehicle's internal display device, 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 as a first distance value; when the light intensity is greater than or equal to the light intensity threshold, the distance threshold is determined as a second distance value. The first distance value is greater than the second distance value.

[0101] When the third environmental perception information uses weather type, a distance threshold corresponding to the weather type is determined. Different weather types can correspond to different distance thresholds. For example, on a sunny day, with better lighting conditions, compared to cloudy, overcast, or rainy days, the distance at which people outside the vehicle can clearly see the content displayed on the vehicle's internal display device is greater, and the distance threshold is set higher. Optionally, the distance threshold for a sunny day is greater than the distance threshold for a non-sunny day. 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. The third distance value is greater than the fourth distance value.

[0102] When the third environmental perception information uses the current time information, the distance threshold corresponding to the current time information is determined based on the time period in which the current time information is located. Different time periods can correspond to different distance thresholds. For example, during the nighttime period, the brightness of the content displayed by the device is more obvious in the nighttime environment. Compared to the daytime period, the farther away people outside the vehicle can see the content displayed by the device inside the vehicle, the larger the distance threshold should be set. Optionally, the distance threshold when the current time information is in the nighttime period is greater than the distance threshold when the current time information is in the daytime period.

[0103] As an example, if the current time information is during nighttime, the distance threshold is determined to be the fifth distance value; if the current time information is during daytime, the distance threshold is determined to be the sixth distance value. The fifth distance value is greater than the sixth distance value.

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

[0105] Therefore, considering the differences in field of vision when looking into the vehicle cabin under different environments, different distance thresholds are set for different environmental perception information. For example, the distance threshold to be used is determined based on light intensity, weather type, and current time information. This allows for a more accurate determination of the current threshold, taking into account the differences in the distance at which people outside the vehicle can clearly see the display device inside the vehicle under different lighting conditions, weather types, and time periods. Furthermore, based on this distance threshold, it is determined whether the window transmittance needs to be adjusted, thus improving the adjustment accuracy.

[0106] In one embodiment of this disclosure, a corresponding distance threshold is determined based on the orientation information of the preset object relative to the current vehicle and third environmental perception information. Then, 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 a specified range.

[0107] In this embodiment, different orientation information and third environmental perception information can be combined in multiple ways. A corresponding distance threshold is set in advance for each combination. Optionally, the current vehicle orientation information 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, if the orientation information is the left side of the vehicle and the light intensity is less than the light intensity threshold, the distance threshold is distance value three. If the orientation information is the rear of the vehicle and the light intensity is less than the light intensity threshold, the distance threshold is distance value three, and distance value three is less than or equal to distance value four.

[0108] As an example, refer to Figure 3 , Figure 3 A schematic diagram of a designated area outside a vehicle cabin is shown. In the diagram, 31 represents an in-vehicle display device, and 32 represents a vehicle window. When the light intensity is less than the light intensity threshold, the distance thresholds for the left and right sides of the vehicle are 4m, and the distance threshold for the rear of the vehicle is 7m. When the light intensity is greater than or equal to the light intensity threshold, the distance thresholds for the left and right sides of the vehicle are 2m, and the distance threshold for the rear of the vehicle is 4m.

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

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

[0111] Optionally, if a preset object exists within a specified range, a prompt message is generated to ask the user to confirm whether to perform the light transmittance adjustment action. In response to receiving the user's confirmation message, the light transmittance of the window is adjusted. The prompt message may take the form of, but is not limited to, voice prompts or displayed text prompts, and the confirmation message may take the form of, but is not limited to, voice input, button input, or gesture input.

[0112] In this embodiment of the disclosure, different distance thresholds are used for different orientations and different environments, and the window transmittance is further determined based on the distance threshold, thereby improving the adjustment accuracy.

[0113] To more clearly illustrate the technical solutions provided in the embodiments of this disclosure, the following is in conjunction with... Figure 5 The present disclosure provides a further explanation of a method for controlling vehicle windows. Figure 5This is a flowchart illustrating another window control method provided in an embodiment of this disclosure, as shown below. Figure 5 As shown, the method includes:

[0114] Step 501: Perform scene recognition based on the first environmental perception information inside the vehicle cabin to determine the scene recognition result inside the vehicle cabin.

[0115] Step 502: If the scene recognition result is the 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 vehicle is currently in motion, the first relative position information between the current vehicle and other surrounding vehicles is determined based on the second environmental perception information. If other vehicles are traveling in the same direction as the current vehicle, the presence of other vehicles within a specified range is determined based on the first relative position information.

[0118] In this example, the first relative position information includes orientation and distance. Second environmental perception information is acquired in real-time by sensors outside the vehicle cabin, such as cameras and radar, to obtain the orientation and distance of other vehicles relative to the current vehicle, as well as the driving direction of other vehicles. This determines whether they are traveling in the same direction and whether other vehicles exist within a specified range outside the vehicle cabin. Driving status can be determined based on gear position, vehicle speed, and navigation information. For example, the vehicle is in a driving state when it is not in park (P gear), when the vehicle speed is greater than zero, or when navigation information indicates that the vehicle is on a journey.

[0119] As another example, when the vehicle is currently parked, the second relative position information between the vehicle and surrounding pedestrians is determined based on the second environmental perception information, and the presence of pedestrians within a specified range is determined based on the second relative position information.

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

[0121] Therefore, it is possible to detect whether there is a vehicle within a specified range when the vehicle is in motion, and to detect whether there is a pedestrian within a specified range when the vehicle is parked. The preset objects to be detected are determined according to the vehicle status, reducing the amount of data processing. Furthermore, when the corresponding preset object is detected within the specified range, the transmittance is adjusted, thus improving the adjustment accuracy.

[0122] Step 503: If 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, if a preset object exists within a specified range, a target window matching the orientation information is determined from all windows of the current vehicle based on the orientation information of the preset object relative to the current vehicle. Then, an adjustment command is generated to reduce the light transmittance of the target window. Optionally, based on the orientation information of the preset object relative to the current vehicle, a window on the same side as the orientation information is determined as the target window matching the orientation information.

[0124] As an example, when rear-seat users in a vehicle are watching movies or TV shows on the rear-seat display screen, and a pedestrian is present within a designated area outside the vehicle's cabin on the right side of the vehicle, it is determined that the right-side window of the vehicle needs to have its light transmittance adjusted. An adjustment command is then generated to reduce the light transmittance of the right-side window.

[0125] In this embodiment, the windows that affect user privacy are determined by the positional information of the preset object relative to the current vehicle. Then, the light transmittance is adjusted only for the windows that affect user privacy, without having to adjust the light transmittance of all windows, thereby improving control accuracy and enhancing user experience.

[0126] The following is combined Figure 6 The methods of the embodiments of this disclosure are illustrated with examples and practical application scenarios.

[0127] For example, taking watching movies and TV shows 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 current time information, weather type, and the operating status of the in-vehicle display screen through the in-cabin system; it acquires images of the cabin environment through in-cabin sensors such as cameras; and it acquires information about the external environment through external sensors such as cameras and radar, including vehicle proximity and pedestrian locations. The scene recognition module, based on the information provided by the environmental perception module, determines whether a display device is being used to watch movies or TV shows inside the cabin, and whether there are vehicles or pedestrians within a specified range outside the cabin. The adjustment module is installed on the windows and adjusts the window's light transmittance according to the control module's instructions. When the scene recognition module determines that privacy protection is needed, the adjustment module reduces the window's light transmittance to keep the content displayed inside the vehicle confidential from people outside. The control module receives the scene recognition results from the scene recognition module and sends instructions to the adjustment module based on the scene recognition results to control the light transmittance adjustment of the windows. Optionally, the control module can also be configured according to user needs, including actively adjusting the degree of light transmittance, turning privacy protection functions on or off, etc. For example, users can make settings through the vehicle's central control screen or mobile terminal, including turning privacy protection functions on or off, actively adjusting the degree of light transmittance, etc. In addition, users can set trigger adjustments according to their own needs, such as actively setting the vehicle following distance, the range of pedestrian approach, etc.

[0128] Reference Figure 6 The system identifies when a user in the vehicle cabin is playing video on a display device using scene recognition. It then determines whether the vehicle is in motion based on navigation information, gear position, and speed. When the vehicle is in motion, cameras and radar identify surrounding vehicles to determine if other vehicles are traveling in the same direction within a specified range. If other vehicles are present, a distance threshold for comparison is determined based on light intensity and location information. The system compares the distances between other vehicles and the vehicle with this distance threshold to determine if privacy protection is needed and adjusts the light transmittance of the corresponding windows accordingly. When the vehicle is not in motion, cameras and radar identify pedestrians around the vehicle to determine if pedestrians are present within a specified range. If pedestrians are present, a distance threshold for comparison is determined based on light intensity and location information. The system compares the distances between pedestrians and the vehicle with this distance threshold to determine if privacy protection is needed and adjusts the light transmittance of the corresponding windows accordingly. For example, the light intensity threshold might be 20,000 lux. Specific distance threshold values ​​for when the vehicle is in motion can be found by referring to [reference needed]. Figure 3 The specific value for the distance threshold when the vehicle is not in motion can be found in [reference]. Figure 4Optionally, when the vehicle is not in motion and the light intensity is below the light intensity threshold, the light transmittance of all windows can be adjusted as needed to provide a privacy protection mode suitable for nighttime parking scenarios and improve the user experience.

[0129] Therefore, this window control method can be applied to various vehicle models, providing drivers with a safe and comfortable driving experience. It ensures the confidentiality of in-vehicle viewing content from outsiders, offering advantages such as real-time performance, accuracy, flexibility, and security. In practical applications, it can also be integrated with intelligent vehicle technologies such as autonomous driving and smart cockpits. For example, in autonomous driving mode, it can automatically activate privacy protection functions to ensure the privacy and security of passengers inside the vehicle. In a smart cockpit, the system can interact with voice assistants, smart seats, and other devices to provide passengers with more personalized services, thereby further enhancing the vehicle's intelligence level and user experience.

[0130] In addition, such as Figure 7 As shown, Figure 7 This is a schematic diagram of the structure of a window control device provided in an embodiment of the present disclosure. The 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 based on the first environmental perception information inside the vehicle cabin, so as to determine the scene recognition result inside the vehicle cabin.

[0132] The judgment module 72 is used to determine whether there is a preset object within a specified range outside the vehicle cabin based on the second environmental perception information outside the vehicle cabin when the scene recognition result is the target scene; wherein, the target scene includes the scene of the user using the display device;

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

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

[0135] Obtain the operating status information of the display device; when the operating status information indicates that the display device is running a specified application, determine the scene recognition result as the target scene;

[0136] And / or,

[0137] The system acquires images of the environment inside the vehicle cabin; performs image recognition on these images to determine user behavior; and identifies the scene recognition result as the target scene when the user behavior indicates that the user is using the display device.

[0138] In one specific embodiment, the determination module 72 is specifically used for:

[0139] The relative position information between the current vehicle and the preset object is determined based on the second environmental perception information;

[0140] Based on the relative position information, determine whether a preset object exists within the specified range.

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

[0142] Obtain the distance threshold;

[0143] 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.

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

[0145] Based on the location information of the preset object relative to the current vehicle, query the preset relationship to obtain the distance threshold corresponding to the location information;

[0146] And / or,

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

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

[0149] Based on the relationship between the light intensity and the light intensity threshold, a distance threshold corresponding to the light intensity is determined; 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] Based on the weather type, a distance threshold corresponding to the weather type is determined; 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] Based on the time period in which the current time information is located, a distance threshold corresponding to the current time information is determined; wherein, the distance threshold when the current time information is in a nighttime period is greater than the distance threshold when the current time information is in a daytime period.

[0154] In one specific embodiment, the control module 73 is specifically used for:

[0155] Based on the preset object's orientation information relative to the current vehicle, determine the target window that matches the orientation information from all windows of the current vehicle;

[0156] Generate adjustment instructions to reduce the light transmittance of the target window.

[0157] Regarding the apparatus in the above embodiments, the specific manner in which each unit performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0158] Figure 8 This is a schematic diagram of the structure of a vehicle provided in an embodiment of this disclosure.

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

[0160] This embodiment can divide the vehicle into functional modules according to the above method example. For example, each function can be assigned to a separate module, or two or more functions can be integrated into one processing module. The integrated module can be implemented in hardware. It should be noted that the module division in this embodiment is illustrative and only represents one logical functional division. In actual implementation, there may be other division methods.

[0161] When each function is divided into modules corresponding to its specific function, the vehicle may include: an identification module, a judgment module, a control module, etc.

[0162] It should be noted that all relevant content of each step involved in the above method embodiments can be referenced from the functional description of the corresponding functional module, and will not be repeated here.

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

[0164] When using integrated units, the vehicle may include a processing module and a storage module. The processing module is used to control and manage the vehicle's actions. The storage module supports the vehicle in executing program code and data.

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

[0166] This embodiment also provides a computer-readable storage medium (including but not limited to disk storage, CD-ROM, optical storage, etc.) storing computer program code. When the computer program code is run on a computer, the computer executes the above-mentioned related method steps to implement the 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, it causes the computer to perform the above-mentioned related steps to realize the window control method provided in the above embodiment.

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

[0169] Through the above description of the embodiments, those skilled in the art will understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In actual applications, the above 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 this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of modules or units is merely a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be coupled or communicatively connected, which may be electrical, mechanical, or other forms.

[0171] It may be combined with or integrated into another device, or some features may be omitted or not performed. Furthermore, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interface, between devices or units. In the description of this disclosure, it should be understood that if terms such as “up,” “down,” “front,” “rear,” “left,” and “right” are used to indicate orientation or positional relationships based on the orientation or positional relationships shown in the accompanying drawings, they are only for the convenience of describing the invention and simplifying the description, and are not intended to indicate or imply that the indicated position or element must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this disclosure.

[0172] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, 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 "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0173] The above are merely embodiments of this disclosure and are not intended to limit the scope of this disclosure. Various modifications and variations can be made to this disclosure by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this disclosure should be included within the scope of the claims of this disclosure.

Claims

1. A method for controlling vehicle windows, characterized in that, The method includes: Scene recognition is performed based on the first environmental perception information inside the vehicle cabin to determine the scene recognition result inside the vehicle cabin; If the scene recognition result is a target scene, the system determines whether a preset object exists within a specified range outside the vehicle cabin based on the second environmental perception information outside the vehicle cabin; wherein, the target scene includes a scene where the user uses the display device; If the preset object exists within the specified range, adjust the light transmittance of the car window; The existence of the preset object within the specified range includes: Obtain a distance threshold; wherein, based on the orientation information of the preset object relative to the current vehicle, a preset relationship is queried to obtain a distance threshold corresponding to the orientation information, and / or, a distance threshold corresponding to the third environmental perception information is determined; 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; The third environmental perception information includes at least one of light intensity, weather type, and current time information. Determining the distance threshold corresponding to the third environmental perception information includes: Based on the relationship between the light intensity and the light intensity threshold, a distance threshold corresponding to the light intensity is determined; 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, Based on the weather type, a distance threshold corresponding to the weather type is determined; 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, Based on the time period in which the current time information is located, a distance threshold corresponding to the current time information is determined; wherein, the distance threshold when the current time information is in a nighttime period is greater than the distance threshold when the current time information is in a daytime period.

2. The method as described in claim 1, characterized in that, The step of performing scene recognition based on the first environmental perception information within the vehicle cabin to determine the scene recognition result within the vehicle cabin includes: Obtain the operating status information of the display device; When the running status information indicates that the display device is running a specified application, the scene recognition result is determined to be the target scene; And / or, The environment inside the vehicle cabin is captured to obtain images of the cabin environment. Image recognition is performed on the in-cabin environment image to determine user behavior in the in-cabin environment image; When the user's behavior indicates that the user is using the display device, the scene recognition result is determined to be the target scene.

3. The method as described in claim 1, characterized in that, The step of determining whether a preset object exists within a specified range outside the vehicle cabin based on second environmental perception information outside the vehicle cabin includes: The relative position information between the current vehicle and the preset object is determined based on the second environmental perception information; Based on the relative position information, determine whether the preset object exists within the specified range.

4. The method as described in claim 1, characterized in that, The adjustment of the light transmittance of the vehicle window includes: Based on the orientation information of the preset object relative to the current vehicle, a target window that matches the orientation information is determined from all windows of the current vehicle; An adjustment command is generated to reduce the light transmittance of the target window.

5. A vehicle window control device, characterized in that, include: The recognition module is used to perform scene recognition based on the first environmental perception information inside the vehicle cabin, so as to determine the scene recognition result inside the vehicle cabin. The judgment module is used to determine, based on the second environmental perception information outside the vehicle cabin, whether there is a preset object within a specified range outside the vehicle cabin when the scene recognition result is a target scene; wherein, the target scene includes a scene where the user uses the display device; The control module is used to adjust the light transmittance of the vehicle window when the preset object is present within the specified range; The existence of the preset object within the specified range includes: Obtain a distance threshold; wherein, based on the orientation information of the preset object relative to the current vehicle, a preset relationship is queried to obtain a distance threshold corresponding to the orientation information, and / or, a distance threshold corresponding to the third environmental perception information is determined; 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; The third environmental perception information includes at least one of light intensity, weather type, and current time information. Determining the distance threshold corresponding to the third environmental perception information includes: Based on the relationship between the light intensity and the light intensity threshold, a distance threshold corresponding to the light intensity is determined; 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, Based on the weather type, a distance threshold corresponding to the weather type is determined; 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, Based on the time period in which the current time information is located, a distance threshold corresponding to the current time information is determined; wherein, the distance threshold when the current time information is in a nighttime period is greater than the distance threshold when the current time information is in a daytime period.

6. A vehicle, characterized in that, include: processor; Memory used to store the processor's executable instructions; The processor is configured to read the executable instructions from the memory and execute the instructions to implement the method described in any one of claims 1-4.

7. A computer-readable storage medium, characterized in that, The storage medium stores a computer program, which, when executed by a processor, implements the method described in any one of claims 1-4.

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