CN112145009A

CN112145009A - Vehicle window lifting control method and device and system for controlling vehicle window lifting

Info

Publication number: CN112145009A
Application number: CN202011051605.5A
Authority: CN
Inventors: 魏玉玲
Original assignee: Beijing Baidu Netcom Science and Technology Co Ltd
Current assignee: Apollo Zhilian Beijing Technology Co Ltd
Priority date: 2020-09-29
Filing date: 2020-09-29
Publication date: 2020-12-29
Anticipated expiration: 2040-09-29
Also published as: CN112145009B

Abstract

The application discloses a car window lifting control method and device and a system for controlling car window lifting, and relates to the technical field of intelligent identification and car window intelligent control. The specific implementation scheme is as follows: generating a detection result based on the detected user-related information; generating a window lift prevention request in response to determining that the detection result indicates that a portion of the human body of the user intersects with a window area of the vehicle; a window lift prevention request is transmitted to the window lift system so that the window lift system controls the lift state of the window. Whether the intelligent glasses detect that the user is intersected with the window area of the vehicle or not only provides a new window control scheme, but also has higher accuracy and improves the safety and convenience.

Description

Vehicle window lifting control method and device and system for controlling vehicle window lifting

Technical Field

The application relates to the technical field of computers, in particular to the technical field of intelligent identification and intelligent control of vehicle windows, and specifically relates to a vehicle window lifting control method and device and a system for controlling lifting of vehicle windows.

Background

Almost all cars are fitted with power windows for the convenience of the driver and passengers. But most electric window all do not have and prevent pressing from both sides the function, and some current car windows that have prevent pressing from both sides the function also carry out the barrier through sensor etc. and detect and realize preventing pressing from both sides the function.

Disclosure of Invention

The application provides a car window lifting control method and device and a system for controlling car window lifting.

According to a first aspect, the present application provides a window regulator control method comprising: generating a detection result based on the detected user-related information; generating a window lift prevention request in response to determining that the detection result indicates that a portion of the human body of the user intersects with a window area of the vehicle; a window lift prevention request is transmitted to the window lift system so that the window lift system controls the lift state of the window.

According to a second aspect, the present application provides a window regulator control method comprising: receiving a window lift prevention request; preventing a window lift request from being issued by smart eyewear in response to detecting that a portion of a human body of a user intersects a window area of a vehicle; generating a window control instruction based on the window lift prevention request; and sending a window control instruction to the window lifting system so that the window lifting system controls the lifting state of the window.

According to a third aspect, the present application provides a window regulator control apparatus comprising: a detection result generation module configured to generate a detection result based on the detected user-related information; a request generation module configured to generate a window lift prevention request in response to determining that the detection result indicates that a part of a human body of the user intersects with a window area of the vehicle; and the request sending module is configured to send a window lift prevention request to the window lift system so that the window lift system controls the lift state of the window.

According to a fourth aspect, the present application provides a window regulator control apparatus comprising: a request receiving module configured to receive a window lift prevention request; preventing a window lift request from being issued by smart eyewear in response to detecting that a portion of a human body of a user intersects a window area of a vehicle; a control instruction generation module configured to generate a window control instruction based on the window lift prevention request; the control instruction sending module is configured to send a window control instruction to the window lifting system so that the window lifting system controls the lifting state of the window.

According to a fifth aspect, the present application provides a system for controlling the raising and lowering of a vehicle window, comprising: the intelligent glasses are used for identifying the state of the user, and when the intelligent glasses identify that part of the human body of the user is intersected with the window area of the vehicle, the intelligent glasses send a window lifting prevention request to the controller; the controller is configured to respond to the received vehicle window lifting prevention request sent by the intelligent glasses and generate a vehicle window control instruction; and the window lifting system is in communication connection with the controller and is configured to control the lifting state of the window in response to receiving a window control command sent by the controller.

According to a sixth aspect, the present application provides an electronic device comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of the first or second aspect.

According to a seventh aspect, the present application provides a non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of the first or second aspect.

Carry out the obstacle detection through the sensor among the prior art and realize preventing pressing from both sides the function, just can stop or descend to lead to the security relatively poor to compare after meetting great resistance, the technical scheme of this application at first generates the testing result based on the relevant information of the user that detects, then it indicates that the partial human body of user intersects with the door window region of vehicle to respond to confirm the testing result, the generation prevents that the door window from rising the request, send to door window lift system at last and prevent that the door window from rising the request, so that the lift state of door window lift system control door window, can realize the function of preventing pressing from both sides intelligently when the partial human body of user intersects with the door window region of vehicle. Whether the intelligent glasses detect that the user is intersected with the window area of the vehicle or not only provides a new window control scheme, but also has higher accuracy and improves the safety and convenience.

It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present application, nor do they limit the scope of the present application. Other features of the present application will become apparent from the following description.

Drawings

The drawings are included to provide a better understanding of the present solution and are not intended to limit the present application. Wherein:

FIG. 1 is an exemplary system architecture diagram to which some of the present application may be applied

FIG. 2 is a flow chart of one embodiment of a window lift control method according to the present application;

FIG. 3 is a flow chart of one embodiment of a window lift control method according to the present application;

fig. 4 is a view of a scene of a window regulator control method according to the present application;

fig. 5 is a schematic structural view of an embodiment of a window regulator control according to the present application;

fig. 6 is a schematic structural view of an embodiment of a window regulator control according to the present application;

FIG. 7 is a schematic structural diagram of one embodiment of smart glasses according to the present application;

FIG. 8 is a schematic structural diagram of one embodiment of a system for controlling the raising and lowering of a vehicle window according to the present application;

FIG. 9 is a block diagram of a computer system suitable for use in implementing a server or terminal according to some embodiments of the present application.

Detailed Description

The following description of the exemplary embodiments of the present application, taken in conjunction with the accompanying drawings, includes various details of the embodiments of the application for the understanding of the same, which are to be considered exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

Fig. 1 illustrates an exemplary system architecture 100 to which embodiments of the window lift control methods and apparatus of the present application may be applied.

As shown in fig. 1, the system architecture 100 may include smart glasses 101, a vehicle terminal 102, a window lift system 103, a network 104, and a server 105. The network 104 is a medium for providing a communication link between any two of the smart glasses 101, the in-vehicle terminal 102, the window lift system 103, and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.

The user may use the smart glasses 101, and the in-vehicle terminal 102 interacts with the server 105 through the network 104 to receive or transmit messages or the like. Various applications, such as various client applications, multi-party interactive applications, artificial intelligence applications, and the like, may be installed on the smart glasses 101 and the in-vehicle terminal 102.

The server 105 may be a server that provides various services, such as a background server that supports the smart glasses 101 and the in-vehicle terminal 102. The background server may analyze and otherwise process the received data such as the request, and feed back the processing result to the smart glasses 101 or the vehicle-mounted terminal 102.

The server may be hardware or software. When the server is hardware, it may be implemented as a distributed server cluster formed by multiple servers, or may be implemented as a single server. When the server is software, it may be implemented as multiple pieces of software or software modules, for example, to provide distributed services, or as a single piece of software or software module. And is not particularly limited herein.

In practice, the method for controlling the window to ascend and descend provided by the embodiment of the present application may be executed by the smart glasses 101, the vehicle-mounted terminal 102, or the server 105, and the device for controlling the window to ascend and descend may also be disposed in the smart glasses 101, the vehicle-mounted terminal 102, or the server 105.

It should be understood that the number of smart glasses, in-vehicle terminals, networks, and servers in fig. 1 are merely illustrative. There may be any number of smart glasses, vehicle terminals, networks, and servers, as desired for implementation.

Referring to fig. 2, fig. 2 shows a flow 200 of an embodiment of a window lift control method according to the present application. The vehicle window lifting control method comprises the following steps:

s201, generating a detection result based on the detected user related information.

In this embodiment, an execution subject (for example, the smart glasses in fig. 1) of the window regulator control method may generate a detection result based on the detected user-related information.

The user-related information may be information required for determining whether a part of a human body of the user intersects with a window area of the vehicle, and for example, the user-related information may include, but is not limited to, at least one of the following: image information, motion information, and attitude information.

The detection result is used for indicating whether part of the human body of the user intersects with the window area of the vehicle.

The above-mentioned part of the human body intersecting with the window area of the vehicle may include: when part of human body is positioned in the vehicle, part of human body is extended out of the vehicle window from the interior of the vehicle, or part of human body is contacted with the vehicle window in the vehicle; when part of the human body is positioned outside the vehicle, part of the human body is inserted into the vehicle window from the outside of the vehicle, or part of the human body is in contact with the vehicle window outside the vehicle. The part of the human body may include at least one of the following of the human body: head, neck, arms, legs, hands, feet, torso, etc. The window area of the vehicle may be an area where a window is provided for the vehicle.

And S202, generating a window lift prevention request in response to the fact that the detection result indicates that part of the human body of the user intersects with the window area of the vehicle.

In this embodiment, the execution main body of the window lift control method may generate the window lift prevention request in response to determining that the detection result indicates that a part of the human body of the user intersects with the window area of the vehicle.

The execution main body may determine that the detection result indicates that a part of the human body of the user intersects with a window area of the vehicle when the user-related information satisfies a preset condition, for example, at least one of the image information, the motion information, and the posture information satisfies the preset condition, and at this time, generate a control instruction for preventing the window from being lifted.

The intersection of the part of the human body and the window area of the vehicle can be detected as the part of the human body and the window area of the vehicle, for example, the intersection of the part of the human body and the window area of the vehicle can be determined by detecting an arm and a window frame.

And S203, sending a window lifting prevention request to the window lifting system so that the window lifting system controls the lifting state of the window.

In this embodiment, the execution body of the window lift control method may send a window lift prevention request to the window lift system so that the window lift system controls the lift state of the window.

The executing body may establish a connection with the window lift system in a wired or wireless manner, and the wireless connection manner may include, but is not limited to, a 4G/5G connection, a WiFi connection, a bluetooth connection, a WiMAX connection, a Zigbee connection, a uwb (ultra wideband) connection, and other wireless connection manners known now or developed in the future.

After the car window lifting system receives the car window lifting prevention request, the car window lifting state is controlled, and the purpose of preventing the car window from lifting is achieved.

The following example illustrates a case of a window regulator system that controls a lifting state of a window:

as one example, a window lift system may bottom out and hold a window.

As another example, the window lift system may stop lifting the window when the window is in a raised state and the window height is below a first preset threshold. When the window is in the ascending state and the height of the window is greater than the first preset threshold, the window ascending and descending system can stop ascending the window and descend the window below the first preset threshold. When the window is in a descending state or a static state, the window lifting system can keep the current state of the window. The first preset threshold may be set by a person skilled in the art according to practical situations, for example, the first preset threshold may be 1/4/, 1/2, etc. of the total height of the window.

According to the window lift control method provided by the embodiment, the intelligent glasses firstly generate the window lift prevention request when the detection result indicates that part of human body of the user is intersected with the window area of the vehicle, then send the window lift prevention request to the window lift system to control the lift state of the window, and the intelligent anti-pinch function can be realized when part of human body of the user is intersected with the window area of the vehicle. Whether crossing with the door window region of vehicle detects by intelligent glasses, not only provides a new door window control scheme, and the rate of accuracy is higher moreover, has improved security and convenience.

In some optional implementations of step S201 of this embodiment, the executing body of the window regulator control method generates the detection result based on at least one of the following detected results: environment image information, user image information, and user pose information.

The environment image information can be a user field image shot by the intelligent glasses through the image acquisition sub-assembly or an environment image around the user. Whether a part of human body of the user intersects with the window area of the vehicle can be determined through the environment image information. For example, it may be determined whether the user is looking out of the window based on whether the user field of view image includes in-car. By determining whether the environment image of the surroundings of the user is the in-vehicle environment, it is possible to determine whether it intersects the window region of the vehicle.

The user image information can be a user body image shot by the intelligent glasses through the image acquisition sub-assembly. Whether a part of human body of the user intersects with the window area of the vehicle can be determined through the body image of the user. For example, from the captured hand extending outside the window, it can be determined that a part of the human body of the user intersects the window area of the vehicle.

The user pose information may include a user tilt angle detected by the smart glasses through a pose acquisition subassembly (e.g., a pose sensor) or the like, a user posture acquired through an image acquisition subassembly, or the like. Through the user posture information, for example, when the user inclination angle is within a preset range or the user posture is matched with a preset posture, it is determined that a part of the human body of the user is intersected with the window area of the vehicle.

The user inclination angle is in a preset range, and it is determined that a part of human body of the user is intersected with a vehicle window area of the vehicle, which can be specifically as follows: when the user is in the driving position, the user inclination angle indicates that the user deviates more than a preset angle to the left, and the user probe is determined to be out of the vehicle window. When the user is in the copilot position and the user inclination angle indicates that the user deviates to the right by more than the preset angle, the user probe is determined to be out of the vehicle window.

In the optional implementation mode, the intelligent glasses can comprehensively judge through at least one item, any two items or three items of environment image information, user image information and user posture information to determine whether a part of human body of a user is intersected with the window area of the vehicle, and the accuracy is high by detecting through multi-dimensional data.

In some optional implementations of step S202 of this embodiment, in response to determining that the detection result indicates that the part of the human body of the user intersects with the window area of the vehicle, generating a window lift prevention request includes: in response to determining that the shooting position of the environment image information is distant from the vehicle housing and that the shooting angle indicates that a part of a human body of the user intersects with a window area of the vehicle, a window lift prevention request is generated.

The shooting position of the environment image information can be a position where the intelligent glasses shoot through the image acquisition subassembly; for example, the shooting position may be a position outside the vehicle, and the shooting position may also be a position inside the vehicle. The photographing position may be determined according to a method of determining a photographing position based on an image in the related art or a technology developed in the future. The shooting position is determined by, for example, deformation of the object, parameters of the camera.

The distance from the shooting position to the vehicle shell can be the distance between the shooting position and the vehicle shell when the image environment information is collected through the image collecting sub-assembly of the intelligent glasses. The distance between the shooting position and the housing of the vehicle may be determined according to methods of determining the distance of an object in an image from the shooting position based on the image in the prior art or in techniques developed in the future. The distance between the photographing position and the housing of the vehicle is determined, for example, based on the deformation of the objects in the environment image information, the relative position between the objects, the distance from the photographing position, and the like.

The shooting angle can be the angle that intelligent glasses shoot through the image acquisition subassembly. The photographing angle of the environmental image information may be determined according to a method of determining a photographing angle based on an image in the related art or a technology developed in the future. For example, the shooting angle of the intelligent glasses for shooting the environment image is determined according to the deformation of the object in the environment image information, the rotation angle of the object and the like.

In a specific example, if it is determined through the environment image information that the distance between the shooting position and the shell of the vehicle is smaller than the preset distance, the shooting angle indicates that the included angle between the smart glasses and the horizontal line is within the range of the included angle of the body of the vehicle, and it can be determined that a part of the human body of the user intersects with the window area of the vehicle. The range of the included angle of the body-approaching vehicle shell can be determined according to the statistical data of the application scene or the experience of the person skilled in the art.

In this implementation, the intelligent glasses can determine whether the user has the window region of partial human body and vehicle crossing with shooting angle apart from the distance of vehicle casing and shooting angle in the shooting position in the environment image information, can realize the function that intelligence was prevented pressing from both sides. Whether the intelligent glasses detect that the user is intersected with the window area of the vehicle or not only provides a new window control scheme, but also has higher accuracy and improves the safety and convenience.

In some optional implementations of step S202 of this embodiment, in response to determining that the detection result indicates that the part of the human body of the user intersects with the window area of the vehicle, generating a window lift prevention request includes: and in response to detecting that at least part of the human body image and at least part of the window area are included in the user image information and that the human body in the at least part of the human body image intersects with at least part of the window area, determining that the user image information indicates that part of the human body of the user intersects with the window area of the vehicle, and generating a window lift prevention request.

The part of the human body image and the part of the vehicle window area can be shot by the intelligent glasses through the image acquisition subassembly, and the part of the human body image can comprise an image of a part of the human body, such as a head portrait comprising a head, arms and a neck. The portion of the window area may be the glass of the entire window, or the frame of the window. Whether a part of human body of the user intersects with the window area of the vehicle can be determined through at least part of the human body image and at least part of the window area. For example, it may be determined whether the user has probed the window out of the vehicle based on at least part of the human body intersecting at least part of the window area.

In this optional implementation manner, the smart glasses may determine, through the partial human body image and the partial window area included in the user image information, whether a part of the human body of the user intersects with the window area of the vehicle.

In this implementation, the smart glasses can determine whether a user has a part of human body intersecting with the window area of the vehicle through at least a part of human body images and at least a part of window areas included in the user image information, and can realize the intelligent anti-pinch function when at least a part of human body intersects with at least a part of window areas. Whether the intelligent glasses detect that the user is intersected with the window area of the vehicle or not only provides a new window control scheme, but also has higher accuracy and improves the safety and convenience.

In some optional implementations of step S202 of this embodiment, in response to determining that the detection result indicates that the part of the human body of the user intersects with the window area of the vehicle, generating a window lift prevention request includes: and in response to detecting that the three-dimensional posture and/or the orientation in the user posture information conform to the preset posture, determining that the user posture information indicates that part of the human body of the user intersects with the window area of the vehicle, and generating a window lifting prevention request.

Wherein, three-dimensional gesture and/or position can be gathered for intelligent glasses through the gesture subassembly of gathering. The three-dimensional gesture may be a user posture. The preset posture may be a posture set by a user. Through the user posture information, for example, when the three-dimensional posture and the direction of the user are within a preset posture range or the body posture of the user is matched with the preset body posture, it is determined that a part of the human body of the user is intersected with the window area of the vehicle. For example, whether the user is taking the probe out of the window is determined according to whether the three-dimensional posture and/or the orientation conform to a preset posture.

In this optional implementation, the smart glasses may determine through the three-dimensional pose and/or orientation acquired by the pose acquisition subassembly to determine whether a part of the human body of the user intersects with the window area of the vehicle.

In the implementation mode, the intelligent glasses can determine whether part of human bodies of the users are intersected with the vehicle window area of the vehicle through the three-dimensional posture and/or the position in the user posture information, and the intelligent anti-pinch function can be achieved when the three-dimensional posture and/or the position accord with the preset posture. Whether the intelligent glasses detect that the user is intersected with the window area of the vehicle or not only provides a new window control scheme, but also has higher accuracy and improves the safety and convenience.

In some optional implementation manners of step S201 in this embodiment, generating a detection result based on the detected user-related information includes: in response to detecting a wake-up instruction via the smart glasses, generating a detection result based on the detected user-related information; the wake-up instruction includes at least one of: the device comprises a voice awakening instruction, a gesture awakening instruction and a motion track awakening instruction.

The awakening instruction can be used for awakening the intelligent glasses in the dormant state. The voice wake-up instruction can be a voice type wake-up instruction, and can be preset by a user or a voice wake-up instruction set by a system when the user leaves a factory; the gesture awakening instruction can be an awakening instruction of a touch gesture type or a non-touch gesture type, and can be preset by a user or a gesture awakening instruction set by a system when the user leaves a factory; the motion trajectory wake-up instruction may be a wake-up instruction corresponding to a preset motion direction and/or a preset motion frequency, and may be a motion trajectory wake-up instruction preset by a user or set by a system when the user leaves a factory.

In this implementation manner, the smart glasses may wake up to be in the sleep state through at least one, any two, or three of the voice wake-up instruction, the gesture wake-up instruction, and the motion trajectory wake-up instruction, so as to reduce resource consumption of the smart glasses.

Referring to fig. 3, fig. 3 shows a flow 300 of an embodiment of a window lift control method according to the present application. The vehicle window lifting control method comprises the following steps:

s301, receiving a vehicle window lifting prevention request; the window lift prevention request is issued by the smart eyewear in response to detecting that a portion of the human body of the user intersects a window area of the vehicle.

In this embodiment, an execution main body (for example, a server or a vehicle-mounted terminal in fig. 1) of the window lift control method may receive a window lift prevention request, and the window lift prevention request is issued by the smart glasses in response to detecting that a part of a human body of a user intersects with a window area of a vehicle.

The executing body may establish a connection with the smart glasses in a wired or wireless manner, and the wireless connection manner may include, but is not limited to, a 3G/4G connection, a WiFi connection, a bluetooth connection, a WiMAX connection, a Zigbee connection, a uwb (ultra wideband) connection, and other wireless connection manners known now or developed in the future.

The intelligent glasses, also called intelligent glasses, are a general name of glasses which have independent operating systems, can be provided with programs provided by software service providers such as software and games by users, can complete functions such as interaction and the like through voice or action control, and can realize wireless network access and interaction with other equipment through a mobile communication network.

The smart glasses may transmit a window lift prevention request when a detection result obtained by image detection, motion detection, or the like indicates that a part of a human body of a user intersects with a window area of the vehicle. For example, a request to prevent window lift is sent when an arm is detected extending out of the window, or the probe is detected extending out of the window.

And S302, generating a window control command based on the window lifting prevention request.

In this embodiment, the execution body of the window lift control method may generate the window control instruction based on the window lift prevention request.

It is understood that the window control command corresponds to a window lift prevention request, and the window state achieved after the control command is executed is a window lift prevention state.

As an example, the window control command may be a command to bottom out and hold a window.

As another example, the execution main body may acquire the current state of the window from the window lift system after receiving the window lift prevention request, and generate the window control command based on the window lift prevention request and the current state of the window.

For example, when the window is in a raised state and the window height is below a first preset threshold, the window control command may be to stop raising the window. When the window is in the ascending state and the height of the window is greater than the first preset threshold, the window control instruction may be to stop ascending the window and descend the window below the first preset threshold. When the window is in a descending state or a static state, the window control command can be to maintain the current state of the window. The first preset threshold may be set by a person skilled in the art according to practical situations, for example, the first preset threshold may be 1/4/, 1/2, etc. of the total height of the window.

And S303, sending a window control instruction to the window lifting system so that the window lifting system controls the lifting state of the window.

In this embodiment, the execution main body of the window lift control method may send a window control instruction to the window lift system, so that the window lift system controls the lift state of the window.

After the car window lifting system receives the car window control instruction, the car window control instruction is executed, the lifting state of the car window is controlled, and the purpose of preventing the car window from lifting is achieved.

The following example illustrates a case where the window regulator system controls the state of the window ascending and descending:

as one example, a window lift system may bottom out and hold a window.

According to the car window lifting control method provided by the embodiment, firstly, a car window lifting prevention request sent by the intelligent glasses when the detection result indicates that part of human bodies of a user are intersected with the car window area of the vehicle is received, then a car window control instruction is generated according to the car window lifting prevention request, and finally, the car window control instruction is sent to the car window lifting system to control the lifting state of the car window, so that an intelligent anti-pinch function can be realized when part of human bodies of the user are intersected with the car window area of the vehicle. Whether the intelligent glasses detect that the user is intersected with the window area of the vehicle or not only provides a new window control scheme, but also has higher accuracy and improves the safety and convenience.

In some optional implementations of step S301 of the present embodiment, the window lift prevention request is issued by the smart glasses in response to detecting that at least one of the following indicates that a portion of the human body of the user intersects a window area of the vehicle: environmental image information, user image information, and/or user pose information.

The environment image information can be a user field image shot by the intelligent glasses through the image acquisition sub-assembly or an environment image around the user. Whether a part of human body of the user intersects with the window area of the vehicle can be determined through the environment image information. For example, it may be determined whether the user is looking out of the window based on whether the user field of view images include images taken of the left or right side of the vehicle. By determining whether the environment image of the surroundings of the user is an image taken on the left or right side of the vehicle, it can be determined whether the user has caught outside the window.

The user image information can be a user body image shot by the intelligent glasses through the image acquisition sub-assembly. Whether a part of human body of the user intersects with the window area of the vehicle can be determined through the body image of the user. For example, from the captured image of the hand extending out of the window, it can be determined that a part of the human body of the user intersects the window area of the vehicle.

The user pose information may include a three-dimensional pose and orientation of the user detected by the smart glasses via a pose acquisition sub-assembly (e.g., a pose sensor) or the like, a user posture acquired via an image acquisition sub-assembly, or the like. Through the user posture information, for example, when the three-dimensional posture and the direction of the user are within a preset posture range or the body posture of the user is matched with the preset body posture, it is determined that a part of the human body of the user is intersected with the window area of the vehicle.

The three-dimensional posture and the direction of the user are within a preset posture range, and it is determined that part of the human body of the user is intersected with the window area of the vehicle, which can be specifically indicated as follows: when the user is in the seat on the left side of the vehicle, the three-dimensional posture and the direction of the user indicate that the user deviates to the left by more than a preset angle, and the fact that the user probe goes out of the vehicle window is determined. When the user is located on the seat on the right side of the vehicle, the three-dimensional posture and the direction of the user indicate that the user deviates more than a preset angle to the right, and the user probe is determined to be out of the vehicle window.

In the optional implementation mode, the intelligent glasses can comprehensively judge whether part of human bodies of the users are intersected with the window areas of the vehicles or not through any one, any two or three of the environment image information, the user image information and the user posture information, and the accuracy is high through multi-dimensional data detection.

In some optional implementations of step S301 of this embodiment, the preventing, by the smart glasses in response to detecting that a part of a human body of the user intersects with a window area of the vehicle, the window lift request is issued, including: the window lift prevention request is issued by the smart glasses in response to determining a distance of a photographing position of the environment image information from the vehicle housing and a photographing angle indicating that a part of a human body of the user intersects with a window area of the vehicle.

In some optional implementations of step S301 of this embodiment, the preventing, by the smart glasses in response to detecting that a part of a human body of the user intersects with a window area of the vehicle, the window lift request is issued, including: the method includes the steps that a window lift prevention request is sent by smart glasses in response to the fact that at least part of human body images and at least part of window areas of a vehicle are detected to be included in user image information, and human bodies in the at least part of human body images intersect with the at least part of window areas, and it is determined that the user image information indicates that part of human bodies of a user intersect with the window areas of the vehicle.

The part of the human body image and the part of the vehicle window area can be shot by the intelligent glasses through the image acquisition subassembly, and the part of the human body image can comprise an image of a part of the human body, such as a head portrait comprising a head, arms and a neck. The portion of the window area may be the glass of the entire window, or the frame of the window. It is possible to determine from at least part of the image of the person and at least part of the window area whether at least part of the person of the user intersects at least the window area of the vehicle. For example, it may be determined that the user probe is out of the window based on at least part of the human body intersecting at least part of the window area.

In this implementation, the smart glasses may determine whether a part of a human body of the user intersects with a window area of the vehicle through at least a part of a human body image and at least a part of the window area included in the user image information, generate a window lift prevention request when the part of the human body intersects with the part of the window area, and implement an intelligent anti-pinch function based on the window lift prevention request. Whether the intelligent glasses detect that the user is intersected with the window area of the vehicle or not only provides a new window control scheme, but also has higher accuracy and improves the safety and convenience.

In some optional implementations of step S301 of this embodiment, the preventing, by the smart glasses in response to detecting that a part of a human body of the user intersects with a window area of the vehicle, the window lift request is issued, including: the window lift prevention request is issued by the smart glasses in response to detecting that the three-dimensional gesture and/or orientation in the user gesture information conforms to a preset gesture, upon determining that the user gesture information indicates that a portion of the human body of the user intersects with a window area of the vehicle.

In the implementation mode, the intelligent glasses can determine whether a part of human body of a user is intersected with a vehicle window area of a vehicle or not through the three-dimensional posture and/or the position in the user posture information, a vehicle window lifting prevention request is generated when the three-dimensional posture and/or the position accords with the preset posture, and the intelligent anti-pinch function can be achieved based on the vehicle window lifting prevention request. Whether the intelligent glasses detect that the user is intersected with the window area of the vehicle or not only provides a new window control scheme, but also has higher accuracy and improves the safety and convenience.

Referring to fig. 4, fig. 4 shows a scenario 400 of a window lift control method according to the present application. In the scene, the car window lifting control method comprises the following steps:

s401, when the smart glasses detect that part of human body of the user is intersected with the window area of the vehicle, a window lifting prevention request is sent to a server/vehicle-mounted terminal.

S402, the server/in-vehicle terminal generates a window control command based on the received window lift prevention request.

And S403, the window lifting system receives a window control command sent by the server/vehicle-mounted terminal and controls the lifting state of the window.

According to the window lifting control method provided by the scene, the intelligent glasses send a window lifting prevention request when the detection result indicates that part of human bodies of the user are intersected with the window area of the vehicle, then the server/vehicle-mounted terminal generates a window control instruction based on the window lifting prevention request, sends the window control instruction to the window lifting system, and finally the window lifting control system controls the lifting state of the window, so that the intelligent anti-pinch function can be realized when part of human bodies of the user are intersected with the window area of the vehicle. Whether crossing with the door window region of vehicle detects by intelligent glasses, not only provides a new scheme for door window control, and the rate of accuracy is higher moreover, has improved security and convenience.

Referring to fig. 5, fig. 5 shows a structure of an embodiment of a window regulator control device according to the present application. This window lift control device includes:

a detection result generation module 501 configured to generate a detection result based on the detected user-related information; a request generation module 502 configured to generate a window lift prevention request in response to determining that the detection result indicates that a part of a human body of the user intersects with a window area of the vehicle; a request sending module 503 configured to send a window lift prevention request to the window lift system so that the window lift system controls the lift state of the window.

In the present embodiment, in the window regulator control device 500: the detailed processing and the technical effects of the detection result generating module 501, the request generating module 502, and the request sending module 503 can refer to the related descriptions of step 201 and step 203 in the corresponding embodiment of fig. 2, which are not described herein again.

According to the car window lifting control method provided by the embodiment, the intelligent glasses generate the car window lifting prevention request when the detection result indicates that part of human bodies of the user are intersected with the car window area of the vehicle, then send the car window lifting prevention request to the car window lifting system to control the lifting state of the car window, and the intelligent anti-pinch function can be achieved when part of human bodies of the user are intersected with the car window area of the vehicle. And whether the intelligent glasses detect that the user is intersected with the window area of the vehicle or not is detected, so that a new window control scheme is provided, the accuracy is high, and the safety and the convenience are improved.

In some optional implementations of the present embodiment, the detection result generating module 601 is further configured to generate the detection result based on at least one of the following detected: environment image information, user image information, and user pose information.

In some optional implementations of this embodiment, the request generating module is further configured to: in response to detecting that the environment image information is an image captured on the left or right side of the vehicle, determining that the environment image information indicates that a part of a human body of the user intersects with a window area of the vehicle, and generating a window lift prevention request.

In some optional implementations of this embodiment, the request generating module is further configured to: generating a window lift prevention request in response to determining that a shooting position of the environment image information is a distance from a vehicle shell and a shooting angle indicates that a part of a human body of a user intersects with a window area of a vehicle.

In some optional implementations of this embodiment, the request generating module is further configured to: and in response to detecting that the three-dimensional posture and/or the orientation in the user posture information conform to the preset posture, determining that the user posture information indicates that part of the human body of the user intersects with the window area of the vehicle, and generating a window lifting prevention request.

In some optional implementations of this embodiment, generating a detection result based on the detected user-related information includes: in response to detecting a wake-up instruction via the smart glasses, generating a detection result based on the detected user-related information; the wake-up instruction includes at least one of: the device comprises a voice awakening instruction, a gesture awakening instruction and a motion track awakening instruction.

Referring to fig. 6, fig. 6 shows a structure 600 of an embodiment of a window regulator control according to the present application. This window lift control device includes:

a request receiving module 601 configured to receive a window lift prevention request; preventing a window lift request from being issued by smart eyewear in response to detecting that a portion of a human body of a user intersects a window area of a vehicle; a control instruction generation module 602 configured to generate a window control instruction based on the window lift prevention request; a control instruction sending module 603 configured to send a window control instruction to the window lifting system so that the window lifting system controls the lifting state of the window.

In the present embodiment, in the window regulator control device 600: the specific processing of the request receiving module 601, the control instruction generating module 602, and the control instruction sending module 603 and the technical effects thereof can refer to the related descriptions of step 301 and step 303 in the corresponding embodiment of fig. 3, which are not described herein again.

The vehicle window lifting control device provided by the embodiment firstly receives a vehicle window lifting prevention request sent by the intelligent glasses when the detection result indicates that part of human body of a user is intersected with the vehicle window area of a vehicle, then generates a vehicle window control instruction according to the vehicle window lifting prevention request, and finally sends the vehicle window control instruction to the vehicle window lifting system to control the lifting state of the vehicle window, so that the intelligent anti-pinch function can be realized when the part of human body of the user is intersected with the vehicle window area of the vehicle. Whether the intelligent glasses detect that the user is intersected with the window area of the vehicle or not only provides a new window control scheme, but also has higher accuracy and improves the safety and convenience.

In some optional implementations of the present embodiment, the request receiving module 601 is further configured to receive a window lift prevention request; preventing a window lift request from being issued by the smart glasses in response to detecting at least one of the following indicating that a portion of a human body of a user intersects a window area of a vehicle: environment image information, user image information, and user pose information.

In some optional implementations of the embodiment, the window lift prevention request is issued by the smart glasses in response to determining that the photographing position of the environment image information is a distance from the vehicle housing and the photographing angle indicates that a part of a human body of the user intersects with a window area of the vehicle.

In some optional implementations of the embodiment, the request for preventing the window from being lifted is issued by the smart glasses in response to detecting that the user image information includes at least a part of the human body image and at least a part of the window area of the vehicle, and the human body in the at least a part of the human body image intersects with at least a part of the window area, and it is determined that the user image information indicates that the part of the human body of the user intersects with the window area of the vehicle.

In some optional implementations of the embodiment, the request for preventing the window from being lifted is issued by the smart glasses in response to detecting that the three-dimensional gesture and/or the orientation in the user gesture information conforms to the preset gesture, and when it is determined that the user gesture information indicates that a part of the human body of the user intersects with the window area of the vehicle.

Referring to fig. 7, fig. 7 illustrates an architecture of smart glasses according to the present application. The smart glasses may include:

an information collection component 701 configured to collect user-related information; a microprocessor 702 coupled to the information gathering component 701, the microprocessor configured to: generating a detection result based on the detected user-related information; and generating a window lift prevention request in response to determining that the detection result indicates that the part of the human body of the user intersects with a window area of the vehicle.

In the intelligent glasses provided by this embodiment, the information acquisition component 701 acquires the user-related information, and then the user-related information detected by the microprocessor 702 connected to the information acquisition component 701 generates a detection result; and generating a window lift prevention request in response to determining that the detection result indicates that the part of the human body of the user intersects with a window area of the vehicle. The anti-window-lifting request can realize an intelligent anti-pinch function when part of human body of a user is intersected with a window area of a vehicle. Whether the intelligent glasses 801 are used for detecting intersection of the user and the vehicle window area of the vehicle or not is detected, a brand-new idea is provided for vehicle window control, accuracy is high, and safety and convenience are improved.

In some optional implementations of this embodiment, the information collecting component 701 includes: an image acquisition subassembly (not shown) for acquiring environment image information and/or user image information; a microprocessor 702 interfaced with the image capture subassembly, the microprocessor 702 configured to send a window lift prevention request in response to the environment image information and/or the user image information indicating that a portion of a human body of the user intersects a window area of the vehicle.

In some optional implementations of this embodiment, the information collecting component 702 further includes: a gesture collection subassembly (not shown) for collecting user gesture information; a microprocessor 702 connected to the gesture collection subassembly, the microprocessor 702 configured to send a window lift prevention request in response to determining that the user gesture information indicates that a portion of the human body of the user intersects a window area of the vehicle.

Referring to fig. 8, fig. 8 shows the architecture of a system for controlling the raising and lowering of a window according to the present application. The system for controlling the lifting of a window includes:

smart glasses 801 for recognizing a user state, which transmit a window lift prevention request to the controller 802 upon recognizing that a part of a human body of the user intersects with a window area of the vehicle; a controller 802 configured to generate a window control instruction in response to receiving a window lift prevention request transmitted by the smart glasses 801; a window lift system 803 communicatively coupled to the controller 802, the window lift system 803 configured to control a lift state of a window in response to receiving a window control command issued by the controller 802.

According to the system for controlling the lifting of the vehicle window, the intelligent glasses 801 send a request for preventing the lifting of the vehicle window when the detection result indicates that part of the human body of the user intersects with the vehicle window area of the vehicle, then the controller 802 generates a vehicle window control command based on the request for preventing the lifting of the vehicle window, sends the vehicle window control command to the vehicle window lifting system 803, and finally the vehicle window lifting control system 803 controls the lifting state of the vehicle window, so that an intelligent anti-pinch function can be realized when part of the human body of the user intersects with the vehicle window area of the vehicle. Whether the intelligent glasses 801 are used for detecting intersection of the user and the vehicle window area of the vehicle or not is detected, a brand-new idea is provided for vehicle window control, accuracy is high, and safety and convenience are improved.

The present disclosure also provides an electronic device and a readable storage medium according to an embodiment of the present disclosure.

As shown in fig. 9, the electronic device according to the window lift control method in the embodiment of the present application is a block diagram. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present application that are described and/or claimed herein.

As shown in fig. 9, the electronic apparatus includes: one or more processors 901, memory 902, and interfaces for connecting the various components, including a high-speed interface and a low-speed interface. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions for execution within the electronic device, including instructions stored in or on the memory to display graphical information of a GUI on an external input/output apparatus (such as a display device coupled to the interface). In other embodiments, multiple processors and/or multiple buses may be used, along with multiple memories and multiple memories, as desired. Also, multiple electronic devices may be connected, with each device providing portions of the necessary operations (e.g., as a server array, a group of blade servers, or a multi-processor system). Fig. 9 illustrates an example of a processor 901.

Memory 902 is a non-transitory computer readable storage medium as provided herein. The memory stores instructions executable by the at least one processor, so that the at least one processor executes the vehicle window lifting control method provided by the application. A non-transitory computer-readable storage medium of the present application stores computer instructions for causing a computer to execute a window lift control method provided by the present application.

The memory 902 is a non-transitory computer-readable storage medium, and can be used for storing non-transitory software programs, non-transitory computer-executable programs, and modules, such as program instructions/modules corresponding to the window lift control method in the embodiment of the present application (for example, the detection result generating module 501, the control instruction generating module 502, and the control instruction transmitting module 503 shown in fig. 5, and the request receiving module 601, the control instruction generating module 602, and the control instruction transmitting module 603 shown in fig. 6). The processor 901 executes various functional applications and data processing of the server by running non-transitory software programs, instructions and modules stored in the memory 902, that is, implements the window lift control method in the above method embodiment.

The memory 902 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of the window regulator control electronics, and the like. Further, the memory 902 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 902 may optionally include memory located remotely from the processor 901, which may be connected to the window lift control electronics via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The electronic device of the window regulator control method may further include: an input device 903 and an output device 904. The processor 901, the memory 902, the input device 903 and the output device 904 may be connected by a bus or other means, and fig. 9 illustrates the connection by a bus as an example.

The input device 903 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the window up-down control electronics, such as a touch screen, keypad, mouse, track pad, touch pad, pointer stick, one or more mouse buttons, track ball, joystick, or other input device. The output devices 904 may include a display device, auxiliary lighting devices (e.g., LEDs), tactile feedback devices (e.g., vibrating motors), and the like. The display device may include, but is not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device can be a touch screen.

Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

These computer programs (also known as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented using high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, Programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.

The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.

It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present application may be executed in parallel, sequentially, or in different orders, and the present invention is not limited thereto as long as the desired results of the technical solutions disclosed in the present application can be achieved.

The above-described embodiments should not be construed as limiting the scope of the present application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A window regulator control method comprising:

generating a detection result based on the detected user-related information;

generating a window lift prevention request in response to determining that the detection result indicates that a portion of a human body of a user intersects a window area of a vehicle;

and sending the request for preventing the car window from lifting to the car window lifting system so that the car window lifting system controls the lifting state of the car window.

2. The method of claim 1, the generating a detection result based on the detected user-related information, comprising:

generating a detection result based on the detected at least one of: environment image information, user image information, and user pose information.

3. The method of claim 2, wherein generating a window lift prevention request in response to determining that the detection result indicates that a portion of a human body of a user intersects a window area of a vehicle comprises:

generating a window lift prevention request in response to determining that a shooting position of the environment image information is a distance from a vehicle shell and a shooting angle indicates that a part of a human body of a user intersects with a window area of a vehicle.

4. The method of claim 2, wherein generating a window lift prevention request in response to determining that the detection result indicates that a portion of a human body of a user intersects a window area of a vehicle comprises:

in response to the fact that the user image information comprises at least part of human body image and at least part of window area of the vehicle, and the human body in the at least part of human body image is intersected with the at least part of window area, it is determined that the user image information indicates that part of the human body of the user is intersected with the window area of the vehicle, and a window lifting prevention request is generated.

5. The method of claim 2, wherein generating a window lift prevention request in response to determining that the detection result indicates that a portion of a human body of a user intersects a window area of a vehicle comprises:

and in response to detecting that the three-dimensional posture and/or the orientation in the user posture information conform to a preset posture, determining that the user posture information indicates that part of the human body of the user intersects with a window area of the vehicle, and generating a window lifting prevention request.

6. The method of claim 1, wherein the generating a detection result based on the detected user-related information comprises:

in response to detecting a wake-up instruction via the smart glasses, generating a detection result based on the detected user-related information; the wake-up instruction includes at least one of: the device comprises a voice awakening instruction, a gesture awakening instruction and a motion track awakening instruction.

7. A window regulator control method comprising:

receiving a window lift prevention request; the window lift prevention request is issued by smart glasses in response to detecting that a portion of a human body of a user intersects a window area of a vehicle;

generating a window control instruction based on the window lift prevention request;

and sending the car window control instruction to a car window lifting system so that the car window lifting system controls the lifting state of the car window.

8. The method of claim 7, the preventing window lift request issued by smart eyewear in response to detecting that a portion of a human body of a user intersects a window area of a vehicle, comprising:

the window lift prevention request is issued by the smart glasses in response to detecting at least one of the following indicating that a portion of a human body of a user intersects a window area of a vehicle: environment image information, user image information, and user pose information.

9. The method of claim 8, wherein the preventing window lift request is issued by smart glasses in response to detecting that a portion of a human body of a user intersects a window area of a vehicle, comprising:

the window lift prevention request is issued by the smart glasses in response to determining that the photographing position of the environment image information is a distance from the vehicle housing and that the photographing angle indicates that a part of a human body of the user intersects with a window area of the vehicle.

10. The method of claim 8, wherein the preventing window lift request is issued by smart glasses in response to detecting that a portion of a human body of a user intersects a window area of a vehicle, comprising:

the request for preventing the car window from being lifted is sent by smart glasses in response to the fact that the user image information comprises at least part of human body images and at least part of car window areas of the car, human bodies in the at least part of human body images are intersected with the at least part of car window areas, and it is determined that the user image information indicates that part of human bodies of the user are intersected with the car window areas of the car.

11. The method of claim 8, wherein the preventing window lift request is issued by smart glasses in response to detecting that a portion of a human body of a user intersects a window area of a vehicle, comprising:

the request for preventing the vehicle window from being lifted is sent by the intelligent glasses in response to the fact that the three-dimensional posture and/or the position in the user posture information are detected to accord with the preset posture, and when the user posture information indicates that part of the human body of the user is intersected with the vehicle window area.

12. A window regulator control device comprising:

a detection result generation module configured to generate a detection result based on the detected user-related information;

a request generation module configured to generate a window lift prevention request in response to determining that the detection result indicates that a part of a human body of a user intersects a window area of a vehicle;

a request transmitting module configured to transmit the window lift prevention request to a window lift system so that the window lift system controls a lift state of a window.

13. The apparatus of claim 12, the detection result generation module further configured to generate a detection result based on detecting at least one of: environment image information, user image information, and user pose information.

14. The apparatus of claim 13, wherein the request generation module is further configured to: performing the method of any one of claims 3-5.

15. A window regulator control device comprising:

a request receiving module configured to receive a window lift prevention request; the window lift prevention request is issued by smart glasses in response to detecting that a portion of a human body of a user intersects a window area of a vehicle;

a control instruction generation module configured to generate a window control instruction based on the window lift prevention request;

and the control instruction sending module is configured to send the window control instruction to the window lifting system so that the window lifting system controls the lifting state of the window.

16. The apparatus of claim 15, the request receiving module further configured to: receiving a window lift prevention request; the window lift prevention request is issued by the smart glasses in response to detecting at least one of the following indicating that a portion of a human body of a user intersects a window area of a vehicle: environment image information, user image information, and user pose information.

17. The apparatus of claim 16, wherein the request to prevent window lift is generated by the method of any of claims 9-11.

18. A smart eyewear, the smart eyewear comprising:

an information collection component configured to collect user-related information;

a microprocessor connected to the information gathering component, the microprocessor configured to: generating a detection result based on the detected user-related information; and generating a window lift prevention request in response to determining that the detection result indicates that a part of the human body of the user intersects with a window area of the vehicle.

19. The smart eyewear of claim 18, wherein the information collection component comprises:

an image acquisition subassembly configured to acquire environment image information and/or user image information;

a microprocessor connected to the image acquisition subassembly, the microprocessor configured to: generating the window lift prevention request in response to the environment image information and/or the user image information indicating that a part of a human body of a user intersects with a window area of a vehicle.

20. The smart eyewear of claim 18 or 19, wherein the information-gathering component further comprises:

a gesture collection subassembly configured to collect user gesture information;

a microprocessor connected with the gesture acquisition subassembly, the microprocessor configured to: generating the window lift prevention request in response to determining that the user gesture information indicates that a portion of a human body of a user intersects a window area of a vehicle.

21. A system for controlling the raising and lowering of a vehicle window, comprising:

the smart glasses according to any one of claims 18-20, upon recognizing that a part of a human body of a user intersects a window area of a vehicle, transmitting a window lift prevention request to a controller;

the controller is configured to generate a vehicle window control instruction in response to receiving a vehicle window lifting prevention request sent by the smart glasses;

the vehicle window lifting system is in communication connection with the controller and is configured to control the lifting state of a vehicle window in response to receiving a vehicle window control command sent by the controller.

22. An electronic device, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-6 or 7-11.

23. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-6 or 7-11.