Auxiliary adjusting method and system for real vehicle driving training

Abstract

The embodiment of the invention provides an auxiliary adjustment method and system for real vehicle driving training, and can solve the problem that the overall learning efficiency is affected due to the fact that trainees possibly need to additionally allocate attention to compensate a blind area under the condition that the visual field is limited, and therefore the practice investment of other driving skills (such as lane changing and reversing) is reduced. The method comprises the following steps: acquiring actual image data of a current environment area outside a vehicle through vehicle-mounted imaging equipment; determining a safe visible area range in which a vehicle driver can perform safe driving in the actual image data of the current environment area based on the vehicle type of the vehicle; when it is monitored that a student enters a driving position, a safe view verification message is sent to the student according to the image data of the safe visual area range determined in the actual image data, and the view verification message is used for verifying the current view boundary of the student.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to a method and system for assisting in adjusting real-vehicle driving training. Background Art

[0002] During driving test training, students with a wider driving field of vision can capture road information more quickly and make correct judgments, thereby improving learning efficiency. Students with limited vision may need longer to adapt to the traffic environment, and their learning curve is steeper. Students' observation habits will affect the coordination of the steering wheel, accelerator, and brake. For example, too many blind spots or insufficient observation may lead to over-correction or wrong prediction, affecting the mastery of driving skills. In the case of limited vision, students may need to allocate extra attention to compensate for blind spots, thereby reducing the investment in practicing other driving skills (such as changing lanes and reversing), affecting overall learning efficiency. Summary of the invention

[0003] The embodiments of the present application provide a real-car driving training auxiliary adjustment method and system, which can solve the problem that when the field of vision is limited, the trainee may need to allocate extra attention to compensate for the blind spot, thereby reducing the investment in practicing other driving skills (such as changing lanes and reversing), affecting the overall learning efficiency.

[0004] A first aspect of an embodiment of the present application provides a real vehicle driving training auxiliary adjustment method, comprising:

[0005] Acquire actual image data of the current environment area outside the vehicle through the on-board imaging device;

[0006] Determining a safe visual area range in which a vehicle driver can drive safely in actual image data of the current environment area based on the vehicle type of the vehicle;

[0007] When a trainee is detected entering the driving seat, a safety field of view verification message is sent to the trainee based on the image data of the safe visual area range determined in the actual image data, and the field of view verification message is used to verify the current field of view boundary of the trainee.

[0008] Optionally, it also includes:

[0009] In the case where the trainee is monitored to enter the driving seat, a plurality of safe visual area range boundary image features are extracted according to the image data of the safe visual area range determined in the actual image data.

[0010] Optionally, the safety field of view verification message includes the multiple safety visual area range boundary image features, and the safety field of view verification message is used to confirm to the trainee whether the multiple safety visual area range boundary image features are visible, so that the trainee can manually adjust the seat and posture according to the multiple safety visual area range boundary image features until all the safety visual area range boundary image features are seen.

[0011] Optionally, the safety vision verification message includes a request for obtaining the boundary features of the trainee's actual vision and does not include the boundary image features of the safety visual area range, and the method further includes:

[0012] receiving a feedback message from the trainee in response to the trainee's request for obtaining the actual visual field boundary feature, wherein the feedback message includes the actual visual field boundary feature information answered by the trainee;

[0013] A vehicle driver's seat adjustment prompt message is generated based on the actual field of view boundary feature information and the positional relationship between the multiple safe visual area boundary image features in the actual image data of the current environment area, so that the trainee can manually adjust the seat and posture based on the prompt message so that the actual field of view is close to the safe visual area.

[0014] Optionally, the safety vision verification message includes a request for obtaining the boundary features of the trainee's actual vision and does not include the boundary image features of the safety visual area range, and the method further includes:

[0015] receiving a feedback message from the trainee in response to the trainee's request for obtaining the actual visual field boundary feature, wherein the feedback message includes the actual visual field boundary feature information answered by the trainee;

[0016] Based on the positional relationship between the actual field of view boundary feature information and the plurality of safe visual area range boundary image features in the actual image data of the current environment area, the vehicle driving seat is automatically adjusted to match the trainee's actual field of view with the image data of the safe visual area range.

[0017] Optionally, also include:

[0018] In the case that the current visual field boundary of the trainee does not match the range of the safe visual area, the vehicle is controlled not to respond to the vehicle start operation of the trainee.

[0019] Optionally, also include:

[0020] When the current visual boundary of the trainee does not match the range of the safe visual area, the vehicle is kept stopped.

[0021] Optionally, when the trainee is detected to enter the driving seat, sending a safety field of view verification message to the trainee according to the image data of the safe visual area range determined in the actual image data includes:

[0022] When the trainee is detected to enter the driving position, the image data of the safe visual area range determined in the actual image data is displayed on the trainee's smart terminal or the vehicle display of the vehicle.

[0023] A second aspect of the embodiment of the present application provides a real vehicle driving training auxiliary adjustment device, comprising:

[0024] A collection unit, used to obtain actual image data of the current environment area outside the vehicle through an on-board imaging device;

[0025] An analysis unit, configured to determine, based on the vehicle type of the vehicle, a range of a safe visual area in which a vehicle driver can drive safely in the actual image data of the current environment area;

[0026] A verification unit is used to send a safety field of view verification message to the trainee based on the image data of the safe visual area range determined in the actual image data when a trainee is detected entering the driving seat, wherein the field of view verification message is used to verify the current field of view boundary of the trainee.

[0027] A third aspect of an embodiment of the present application provides an electronic system, including a memory and a processor, wherein the processor is used to implement the steps of the above-mentioned real-vehicle driving training auxiliary adjustment method when executing a computer program stored in the memory.

[0028] A fourth aspect of an embodiment of the present application provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned real-vehicle driving training auxiliary adjustment method are implemented.

[0029] In summary, the actual vehicle driving training auxiliary adjustment method provided by the embodiment of the present application obtains the actual image data of the current environment area outside the vehicle through the vehicle-mounted imaging device; based on the vehicle type of the vehicle, the safe visual area range in which the vehicle driver can drive safely is determined in the actual image data of the current environment area; when the trainee is monitored to enter the driving position, according to the image data of the safe visual area range determined in the actual image data, a safe field of view verification message is sent to the trainee, and the field of view verification message is used to verify the current field of view boundary of the trainee. It can effectively identify and promptly correct the blind spot problems caused by the limited field of view of the trainee during the driving training process, and help the trainee form a scientific and reasonable observation habit. The trainee can capture the road environment information faster, thereby significantly reducing the misjudgment caused by the blind spot of the field of view and the over-correction of the driving action (such as emergency braking, unstable steering wheel). In addition, the additional attention burden caused by poor field of view is effectively reduced, and the trainee can focus more on other important driving skills training (such as accurate reversing into the warehouse, changing lanes and overtaking, etc.), which improves the learning efficiency and safety of driving training as a whole.

[0030] Correspondingly, the real vehicle driving training auxiliary adjustment device, electronic system and computer-readable storage medium provided in the embodiments of the present invention also have the above-mentioned technical effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 A flow chart of a possible auxiliary adjustment method for real-vehicle driving training provided in an embodiment of the present application;

[0032] Figure 2 A schematic structural block diagram of a possible real-vehicle driving training auxiliary adjustment device provided in an embodiment of the present application;

[0033] Figure 3 A schematic diagram of the hardware structure of a possible real-vehicle driving training auxiliary adjustment device provided in an embodiment of the present application;

[0034] Figure 4 A schematic structural block diagram of a possible electronic system provided in an embodiment of the present application;

[0035] Figure 5 A schematic structural block diagram of a possible computer-readable storage medium provided for an embodiment of the present application. DETAILED DESCRIPTION

[0036] The embodiments of the present application provide a real-car driving training auxiliary adjustment method and system, which can solve the problem that when the field of vision is limited, the trainee may need to allocate extra attention to compensate for the blind spot, thereby reducing the investment in practicing other driving skills (such as changing lanes and reversing), affecting the overall learning efficiency.

[0037] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices. The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0038] See also Figure 1 , which is a flow chart of a real vehicle driving training auxiliary adjustment method provided in an embodiment of the present application, and may specifically include: S110-S130.

[0039] S110, obtaining actual image data of the current environment area outside the vehicle through the vehicle-mounted imaging device.

[0040] S120: Determine a safe visual area range in which a vehicle driver can drive safely in actual image data of the current environment area based on the vehicle type of the vehicle.

[0041] S130, when a trainee is detected entering the driving seat, a safety field of view verification message is sent to the trainee based on the image data of the safe visual area range determined in the actual image data, wherein the field of view verification message is used to verify the current field of view boundary of the trainee.

[0042] It is understandable that the vehicle-mounted imaging equipment is used to obtain the image data of the actual external environment of the vehicle in real time, and a standard database of safe field of view is constructed based on the vehicle model, vehicle structure and driving safety requirements to dynamically define the standard field of view that the driver should achieve in the cockpit. Through real-time accurate verification and comparison with the trainee's actual field of view, the problem of the trainee's observation field of view blind spots or insufficient field of view boundaries can be discovered in time, and the trainee can be guided to effectively adjust the observation habits, driving seats, rearview mirrors and other equipment positions, thereby improving the coordination of the trainee's driving actions (such as steering wheel control, accelerator and brake operation timing), and ultimately improving the overall learning efficiency of driving training.

[0043] For example, it is necessary to first install multi-directional on-board imaging equipment on the training car or training vehicle, including a front wide-angle camera, left and right side view cameras, and a rear camera to ensure that the 360-degree environmental information outside the vehicle can be fully captured. The installation positions of these cameras need to be optimized in combination with the vehicle appearance and the driver's visual requirements. For example, the front camera is installed in the middle of the top of the vehicle windshield to simulate the driver's front observation field; the side camera is arranged at the vehicle rearview mirror or side body to accurately capture the side blind area; the rear camera is installed in the center of the rear of the vehicle to capture the reversing and rear safety range. In addition, millimeter-wave radar or laser radar equipment can be optionally installed to improve the accuracy of environmental data collection in insufficient light or bad weather. Every time a student starts driving training, after the vehicle is started, these imaging devices obtain real-time images of the vehicle's external environment, and perform image fusion through the data processing terminal in the vehicle to form clear real-time panoramic environmental image data, providing accurate and reliable environmental information for subsequent steps. For example, when the training car is conducting reversing training, the on-board imaging equipment will capture image details such as the marking position, road cone position, obstacle distance, etc. of the training site in real time.

[0044] Exemplarily, after acquiring real-time environmental image data, the method further determines the field of view required for the driver to safely drive when observing the external environment in the cockpit based on the specific type of vehicle (such as a sedan, SUV, training car, large commercial vehicle or bus) and the structural characteristics of the vehicle itself. In specific implementation, the system establishes a set of safety field of view databases for different models in advance. These data are based on the standard safety observation range preset based on traffic safety regulations, vehicle size data provided by vehicle manufacturers, adjustable seat position range, and driver visual characteristics (such as driver's seat eye point height, head swing range) and other information. For example, an ordinary car usually needs to have a horizontal field of view of about 160 degrees in front, a field of view of 30 degrees to the left and right, and a field of view of 40 degrees to the rear; while a training car may need a wider horizontal field of view of 170 degrees in front, a field of view of 40 degrees to the left and right, and a field of view of 50 degrees to the rear to ensure the safety of driving training. In actual operation, the processing terminal automatically identifies ground marking lines and reference objects (such as traffic cones, road edges, road signs, etc.) through image recognition technology based on real-time environmental image data, and automatically marks the range that the driver should be able to observe in the real-time image in combination with the preset safety field of view standard range, forming a clear set of dynamic safety field of view boundaries, thereby preparing for the next step of the trainee's actual field of view verification.

[0045] For example, when the system detects that the trainee has entered the driver's seat and is ready to conduct driving training through a seat pressure sensor or a driver identification system (such as face recognition technology), the system automatically starts the safety field verification procedure. In the specific implementation process, the vehicle information processing terminal will send the vehicle safety field range calculated in real time in the second step to the display device in front of the driver's seat in a graphical and visual manner, such as a HUD head-up display device, a digital display screen on the instrument panel, or a central control screen in the car. The displayed verification information may include clear visual guidance prompts, such as projecting a clear prompt on the HUD: "Please confirm whether the yellow traffic cone about 20 meters to the right of the road ahead is completely visible"; or using a color virtual boundary line on the display screen to circle the area that the trainee should observe (such as the designated position marked on the ground in the left and right rearview mirror areas). Subsequently, the trainee needs to clearly feedback his or her observation situation through voice, touch screen or physical buttons according to the screen prompt content. If the trainee's feedback is different from the standard safety field boundary (for example, the ground mark prompted in the right mirror cannot be seen), the system automatically prompts the trainee to adjust the seat height, front and rear distance, backrest angle, or adjust the viewing angle of the rearview mirror to achieve the standard range of safety field. If the trainee fails to achieve the standard field of view for multiple times in a row, the system will record the trainee's blind spot in that direction and give the trainee precise adjustment suggestions through voice or image prompts, for example: "Please adjust the driver's seat forward 5 cm and observe the position of the ground marking on the right again to confirm whether it is clearly visible." This process is repeated until the trainee can successfully achieve the standard field of view.

[0046] In summary, the actual vehicle driving training auxiliary adjustment method provided by the above embodiment obtains the actual image data of the current environment area outside the vehicle through the vehicle-mounted imaging device; determines the safe visual area range in which the vehicle driver can drive safely in the actual image data of the current environment area based on the vehicle type of the vehicle; when the trainee is monitored to enter the driving position, according to the image data of the safe visual area range determined in the actual image data, a safe vision verification message is sent to the trainee, and the vision verification message is used to verify the current vision boundary of the trainee. It can effectively identify and promptly correct the blind spot problems caused by the limited vision of the trainee during the driving training process, and help the trainee form scientific and reasonable observation habits. The trainee can capture road environment information faster, thereby significantly reducing the misjudgment caused by the blind spot of the vision and the over-correction of driving actions (such as emergency braking, unstable steering wheel). In addition, the additional attention burden caused by poor vision is effectively reduced, and the trainee can focus more on other important driving skills training (such as accurate reversing into the warehouse, changing lanes and overtaking, etc.), which improves the learning efficiency and safety of driving training as a whole.

[0047] In one embodiment, when the trainee is detected to enter the driving seat, sending a safety field of view verification message to the trainee according to the image data of the safe visual area range determined in the actual image data includes:

[0048] When a trainee is detected entering the driving seat, the image data of the safe visual area range is displayed on the trainee's smart terminal or the vehicle's onboard display based on the image data of the safe visual area range determined in the actual image data.

[0049] Exemplarily, first, a complete vehicle-mounted imaging system needs to be installed on the vehicle used for driving training (such as a training car) to fully cover the image data acquisition range of the vehicle's surrounding environment. This set of imaging equipment may include: a forward wide-angle high-definition camera, installed in the center of the front bumper or the top of the windshield of the vehicle, used to collect the front field of view, such as road traffic lights, the distance of the vehicle in front, road markings and pedestrians; a side camera (installed on the left and right rearview mirrors or side doors) to capture the side field of view of the vehicle, covering common lateral driving blind spots, such as the road area covered by the left and right rearview mirrors and the position of vehicles in adjacent lanes; a rear camera (installed at the center of the rear of the vehicle) to collect real-time images of the rear environment of the vehicle, including obstacles in the reversing area, vehicles or pedestrians approaching from the rear. In order to further enhance the accuracy of environmental perception, millimeter-wave radar or lidar sensors can also be optionally used to enhance the spatial perception accuracy of image data. After the vehicle is started, the on-board imaging device starts to continuously capture environmental images, and the processing unit fuses the images of each camera in real time to generate a complete and clear 360° panoramic real-time image data around the vehicle, providing a real-time, accurate and reliable data basis for determining the driver's safe visual area. For example, when the trainee is conducting field training (such as parallel parking or reversing into a garage), the camera system captures information such as ground markings, road stakes, and the relative distance between the vehicle and the roadblock in real time.

[0050] Exemplarily, the system processing unit obtains the standard field of view data of the corresponding vehicle type from the pre-established safe field of view database based on the real-time environment actual image data collected in the above steps, according to the current training vehicle model (such as sedan, SUV, training car and other different models) and structural characteristics (body size, cockpit position, rearview mirror position and other features). The database stores the safety field of view parameters of various models in different driving environments, such as the horizontal field of view angle and vertical observation range in the front, side and rear directions. For example, the safe driving field of view of a standard training car may be 170° horizontally in front, 40° on the left and right sides, and 50° horizontally in the rear. Based on this standard range and combined with real-time image features (such as road markings, reference obstacle positions, and curb boundaries), the system projects and superimposes the theoretical field of view standard range in real time onto the terminal display screen or HUD device inside the vehicle, clearly marking the area range that the driver should see in the current environment to form a clear standard diagram of the safety field of view. For example, when the system is parking sideways, it determines the left and right safety observation boundaries of the vehicle from the side camera image in real time, and clearly displays them to the driving trainee for reference in the next step of verification.

[0051] For example, when the system detects that the trainee has officially entered the driving position through the seat pressure sensor, facial recognition camera or door control sensor, the system automatically triggers the safety field of view verification procedure. At this time, the display terminal inside the vehicle (such as the vehicle-mounted central control screen, HUD head-up display device or driving instrument panel display) will actively push a series of safety field of view verification messages, and the message content clearly requires the trainee to observe and confirm whether the real-time safety field of view boundary meets the standard. For example, the display screen will prompt: "Please confirm whether you can clearly observe the blue ground marking line in the right rearview mirror area", "Please observe whether the traffic signal sign 20 meters in front of the front windshield is fully displayed." The trainee needs to give clear feedback based on the actual field of view (such as pressing the button in the car, touch screen confirmation, voice confirmation), and the system will compare the feedback results with the aforementioned safety field of view standard range in real time. If the field of view boundary confirmed by the trainee cannot reach the expected safety range, the system will automatically generate targeted adjustment prompt information, such as "It is recommended to move the seat forward 3 cm", "Please fine-tune the rearview mirror angle 5° to the left and reconfirm" and other clear and specific adjustment suggestions, and continue to feedback until the field of view is adjusted to within the safety range. For example, when a trainee observes the blind spot marking line of the left rearview mirror for the first time, it is not visible. The system immediately prompts: "Please adjust the driver's seat forward 3 cm and turn the rearview mirror 5 degrees left and observe again." After the trainee executes, he verifies again until the standard field of view requirement is met. Therefore, through real-time image data and active safety field of view verification feedback, it can quickly help trainees adjust their observation habits and avoid excessive corrections or incorrect operations due to limited field of view, thereby significantly improving the efficiency of driving skill learning. After verification in actual training scenarios, after adopting this method, the difficulties of trainees in learning driving skills due to insufficient field of view have been greatly reduced, the overall training efficiency has been significantly improved, and driving safety has also been significantly improved.

[0052] In one embodiment, it also includes:

[0053] In the case where the trainee is monitored to enter the driving seat, a plurality of safe visual area range boundary image features are extracted according to the image data of the safe visual area range determined in the actual image data.

[0054] It is understandable that the actual image data of the vehicle's surrounding environment is collected in real time through the on-board imaging equipment, and then the visual range (i.e., safe visual area) that the driver must have when driving safely is determined in the actual image according to the safety field of view standards corresponding to different vehicle types. In order to ensure that the trainee can clearly understand whether his or her current field of view reaches the range of the safe area, the system further generates real-time safety field of view verification information based on the actual environmental image data after the trainee takes his or her seat, including extracting feature information from the environmental image data to more accurately describe the boundary position of the safety field of view. Through interactive feedback with these verification information (such as actively confirming or adjusting the position of the seat and rearview mirror), the trainee can quickly locate and solve his or her own observation blind spots or field of view limitations, thereby more effectively optimizing the training effect of driving skills.

[0055] Exemplarily, a multi-angle on-board imaging device is installed on a vehicle used for driving training, including a front wide-angle camera, left and right side cameras, and a rear camera. These cameras cover a 360-degree full view of the vehicle to achieve comprehensive acquisition of real-time environmental information. The on-board equipment is automatically activated after the vehicle is started and continues to capture the vehicle's surrounding environment scenes (including roads, other vehicles, pedestrians, traffic signs and markings, road cones, etc.) in real time. At the same time, it can cooperate with millimeter-wave radar or lidar to further improve the accuracy of image data. In actual training, for example, when parking sideways or reversing into a garage, the images captured by the device in real time include not only the front and rear road conditions, but also specific reference information such as markings, parking space lines, and obstacle positions within the range of the side rearview mirror.

[0056] Exemplarily, after determining the safe field of view, in order to improve the observation and verification efficiency of the trainees, this embodiment further automatically extracts multiple clear boundary reference features (such as markings on the ground, road signs of specific colors, parking lines, traffic cone positions, etc.) from the actual image data of the safe visual area through image processing technology (such as edge detection algorithm, image feature recognition algorithm, target recognition algorithm). When extracting image boundary features, image segmentation algorithms, edge detection algorithms (such as Canny edge detection algorithm) or target recognition algorithms (such as YOLO target detection) can be used to accurately identify and highlight the safe field of view boundary marks that the driver should be able to observe. For example, when conducting side parking training, the system not only determines the safe field of view that the side of the vehicle should have, but also automatically identifies the ground markings of the parking space as the verification reference features of the safe field of view, accurately extracts them and highlights them in the real-time image (such as highlighting or superimposing virtual lines) for intuitive confirmation by the trainees.

[0057] For example, when the system detects that the trainee has entered the driver's seat, the system immediately pushes a safety field of view verification message to the trainee through the display terminal in the vehicle (such as HUD, in-vehicle central control screen or instrument panel display) based on the above-extracted safety visual area boundary image feature information. In specific operations, the content of these messages includes specific boundary feature positions that the trainee is clearly required to confirm, such as "Please observe the right rearview mirror to confirm whether the yellow line of the parking space displayed in the mirror is completely clear and visible". After receiving the message, the trainee must immediately provide clear feedback through voice, touch screen or physical button whether he can clearly observe the boundary feature points prompted by the system. If the trainee feedbacks that the observation is insufficient or the field of view cannot cover the required safety boundary features, the system immediately provides further targeted adjustment suggestions, such as: "Please raise the driver's seat by 2 cm and observe again to confirm the integrity of the right ground marking line". Verification, adjustment and confirmation are repeated in this way until the trainee's field of view reaches the standard range and the reference feature position of the safety area boundary is clearly identified. Therefore, by accurately extracting clear ground markings, traffic signs, road cones and other specific features from real-time image data, trainees can clearly and intuitively understand and accurately judge the boundaries of their own observation areas, avoiding subjective confirmation errors caused by ambiguous prompts. For example, trainees can clearly see the road cones or markings prompted by the display screen, and clearly know whether their field of vision is qualified. When trainees cannot observe clear feature points (such as parking lines), the system automatically generates specific equipment adjustment suggestions, effectively avoiding trainees from blindly adjusting themselves and improving training efficiency. For example, trainees do not need to repeatedly guess whether the seat height is appropriate. The system clearly indicates how many centimeters the seat height needs to be raised. Trainees can quickly adjust according to the instructions to quickly obtain an accurate field of vision. After the field of vision is clear, trainees can focus more on other driving skills training (such as changing lanes, parking, and reversing into the warehouse), thereby reducing the occurrence of over-correction or misoperation due to insufficient attention allocation, and significantly improving the coordination of driving actions.

[0058] In one embodiment, the safety field of view verification message includes the multiple safety visual area range boundary image features, and the safety field of view verification message is used to confirm to the trainee whether the multiple safety visual area range boundary image features are visible, so that the trainee can manually adjust the seat and posture according to the multiple safety visual area range boundary image features until all the safety visual area range boundary image features are seen.

[0059] It is understandable that after the actual image data of the external environment is collected in real time by the on-board imaging device, multiple clear and recognizable image boundary features (such as traffic signs, ground markings, reference road cones, parking area markings, etc.) are automatically extracted from these actual images based on the standard range of safe driving vision. Subsequently, the display device in the vehicle (such as HUD head-up display, central control screen or instrument panel screen) is actively sent to the trainee in the form of a "safe vision verification message". These verification messages clearly contain the above-mentioned multiple image feature points for the trainee to verify whether their own field of vision meets the requirements of safe driving. The trainee needs to confirm whether these clear image feature points can be fully observed, and according to the position of the feature points that cannot be observed, manually adjust the position, height, backrest angle of the driving seat, and the driving posture or rearview mirror adjustment until all the safe vision boundary image features are visible. Through this clear and interactive implementation method, it can quickly help trainees eliminate blind spots and ensure that the field of vision meets safety standards, thereby effectively improving driving training efficiency and driving safety.

[0060] Exemplarily, before the vehicle is started and the trainee sits down, the high-definition cameras installed on the front, rear, left and right sides of the vehicle capture the image data of the vehicle's external environment in real time, and combine the standard safe driving field of view parameters of different models to determine the safe field of view that the driver must have in the real-time environment. According to the above-determined safe field of view, the vehicle information processing terminal further uses image processing technology (such as YOLO target detection, Canny edge detection, image segmentation algorithm, etc.) to automatically identify and extract multiple clear boundary image feature points within the field of view. These feature points include but are not limited to: clear ground markings (such as lane lines, parking lines, blind spot markings); traffic facility features (such as road cones, road signs, traffic lights); special reference objects (such as roadside fences, obstacle edges, etc.). For example, when the system is conducting side parking training, it will automatically extract the white or yellow markings on the ground of the parking area, the orange road cones placed in the corners, and the edge of the roadside guardrail from the actual image. These feature points constitute the standard safe field of view that the trainee must observe. When the seat pressure sensor or facial recognition technology determines that the trainee has entered the driving position, the in-vehicle display terminal (HUD, central control screen, instrument panel) will display the image features of the above-mentioned multiple safety field boundaries in real time, and clearly display them in a prominent, highlighted or virtual image superposition manner to form a safety field verification message. After receiving these verification messages, the trainee needs to immediately confirm whether the multiple image feature points displayed by the system can be fully and clearly observed in his or her field of vision. For example, the display screen displays a prompt: "Please confirm whether you can clearly see the parking line and road cone position in the right rearview mirror", and the image feature logo is clearly displayed on the screen. If the trainee finds that some features cannot be clearly observed (such as the end of the right parking line or the side and rear road cone position is blurred or not visible at all), the trainee will immediately make self-adjustments according to the feature prompts, including: seat position adjustment, such as seat front and rear position, height, and tilt angle adjustment; driving posture adjustment, such as sitting posture, head position and steering wheel height; rearview mirror angle adjustment, and specify the specific adjustment angle. The system continuously provides real-time feedback on the visibility of the feature points during the adjustment process, and the trainee continues to make self-adjustments until it is confirmed that all image feature points within the safety field of view are visible. For example, if a trainee cannot fully see the ground markings in the right rearview mirror during parallel parking training, the system will immediately prompt the trainee: "It is recommended to adjust the seat forward 3 cm and raise it 2 cm, then adjust the right rearview mirror downward about 5 degrees, and re-observe to confirm whether the parking line is completely visible." The trainee quickly completes the adjustment and confirms the visibility based on the prompts. As a result, the accuracy and efficiency of field of vision verification are improved: the trainee clearly understands the object of observation, reducing misjudgments caused by blurred vision; reducing the number of blind adjustments, so that the trainee can quickly reach the field of vision standard; the trainee is no longer distracted by insufficient vision and can quickly engage in other driving skills training; accurate field of vision verification reduces driving risks caused by blind spots.

[0061] In one embodiment, the safety field of view verification message includes a request to obtain the actual field of view boundary feature of the trainee and does not include the safety visual area range boundary image feature, and the method further includes:

[0062] receiving a feedback message from the trainee in response to the trainee's request for obtaining the actual visual field boundary feature, wherein the feedback message includes the actual visual field boundary feature information answered by the trainee;

[0063] A vehicle driver's seat adjustment prompt message is generated based on the actual field of view boundary feature information and the positional relationship between the multiple safe visual area boundary image features in the actual image data of the current environment area, so that the trainee can manually adjust the seat and posture based on the prompt message so that the actual field of view is close to the safe visual area range.

[0064] It is understandable that the safety vision verification message does not directly show the boundary image features of the safety vision area to the trainee, but actively asks the trainee about the boundary features of the actual vision, requiring the trainee to confirm and feedback the specific boundary feature points within the current actual visual range. After the trainee feedbacks the vision feature information that can actually be observed according to the request, the system compares the feedback actual vision boundary feature information with the positions of multiple safety visual area boundary feature points extracted by the system from the actual image data of the vehicle's external environment in advance, and automatically generates a targeted vehicle driver's seat or driving posture adjustment prompt message based on the positional relationship between the two. The trainee then manually adjusts the seat position, posture or rearview mirror position according to the prompt message, so that his actual vision range gradually approaches the standard safety vision area range. Through this interactive feedback method, the trainee's actual vision adjustment is more accurate and effective, and can fully strengthen his active observation awareness and safe driving habits.

[0065] Exemplarily, the system acquires the image data of the vehicle's external environment in real time through the vehicle-mounted camera equipment (forward, side, and rear cameras), and determines the range of the field of vision suitable for the driver's safe driving (such as 170° forward, 40° sideways, and 50° rearward) based on the standard database of vehicle types. The system applies an image recognition algorithm to the environmental image data, and automatically extracts multiple clear image features of the boundary of the safe visual area, such as road markings, road cones, parking lines, or traffic signs, etc. These feature points constitute the ideal driver's observation boundary. When the trainee enters the driver's seat, the system does not directly display the above-mentioned standard boundary image features, but displays a clear question request on the vehicle display terminal or the trainee's smart terminal, such as: "Please confirm the farthest clear marking line or road cone position that you can actually observe in the ground area of ​​the right rearview mirror, and describe its specific position." This method ensures that the trainee must actively observe and confirm the actual field of vision, and avoids direct prompts of standard boundaries that lead to subjective or blind confirmation by the trainee. After the trainee actively observes the external environment of the vehicle according to the field of vision verification request raised by the system, he / she can provide feedback to the system about the position of the boundary feature points he / she actually observed through voice input (such as "I can only observe the third parking line on the ground in the right rearview mirror, but I cannot see the fourth parking line"), touch screen input, or select the actual observation features listed on the display screen. For example, the trainee's feedback message is: "I can only see the front end of the ground parking line in the left rearview mirror, but I cannot see the end of the parking line." The system automatically records the information actually fed back by the trainee. The system automatically compares the field of vision boundary feature information actually fed back by the trainee with the boundary features of the standard safe field of vision range determined in the above step 2 in real time. According to the difference between the actual observation feature points and the standard safe field of vision range, the system automatically generates accurate seat and posture adjustment prompt information to guide the trainee to gradually adjust to the safe field of vision range. For example, based on the above trainee feedback system determines that the trainee's actual field of vision is about 10 cm or about 5° lower than the standard field of vision boundary; the system immediately generates a prompt message: "Please raise the seat height by 3 cm, adjust the left rearview mirror angle downward by about 5 degrees, and reconfirm whether you can clearly observe the end of the parking line." The trainee manually adjusts the driving seat or rearview mirror angle according to the above clear adjustment prompts, and then the system sends a request to obtain the actual field of view boundary again, and the trainee gives feedback again. This process is repeated until the trainee's field of view adjustment completely reaches or approaches the standard safety field of view range. Therefore, the system does not inform the safety boundary in advance, and the trainee needs to actively observe and feedback his or her actual field of view characteristics to ensure the authenticity of the feedback. Based on real-time trainee feedback, the system generates clear adjustment prompts (such as clear seat movement distance or rearview mirror adjustment angle) to prevent trainees from blindly trying and improve the speed of field of view optimization. Through the real-time cyclic feedback-adjustment-feedback process, the trainee's observation blind spots are quickly reduced, so that trainees can quickly develop good driving observation habits and accurate driving action coordination.

[0066] In one embodiment, the safety field of view verification message includes a request to obtain the actual field of view boundary feature of the trainee and does not include the boundary image feature of the safety visual area range, and the method further includes:

[0067] receiving a feedback message from the trainee in response to the trainee's request for obtaining the actual visual field boundary feature, wherein the feedback message includes the actual visual field boundary feature information answered by the trainee;

[0068] Based on the positional relationship between the actual field of view boundary feature information and the plurality of safe visual area range boundary image features in the actual image data of the current environment area, the vehicle driving seat is automatically adjusted to match the trainee's actual field of view with the image data of the safe visual area range.

[0069] It is understandable that the safety vision verification message sent by the vehicle driving training assistance system to the trainee does not directly display the image features of the boundary of the safe visual area, but actively sends a "request for obtaining the actual vision boundary features of the trainee" to the trainee, requiring the trainee to actively observe and feedback the position features of the vision boundary that he can actually observe. After receiving the actual vision boundary feature information fed back by the trainee, the system automatically compares the information with the positions of multiple safety vision standard boundary features extracted from the actual image data of the vehicle's external environment by image processing technology in real time. The system then automatically controls the electric adjustment mechanism of the driver's seat (such as the seat motor, lifting device, front and rear slide rail device, backrest tilt electric mechanism, etc.) according to the position difference between the two, and realizes automatic and precise adjustment of the position and posture of the driver's seat, so that the trainee's actual vision gradually reaches and accurately matches the safe vision area range predetermined by the system. Through this automated and precise adjustment method, trainees can quickly and accurately meet the safe driving vision requirements without manually adjusting the seat and rearview mirror repeatedly, which significantly improves the convenience, accuracy and learning efficiency of driving training.

[0070] Exemplarily, when the trainee is detected to enter the driving position (through a pressure sensor or face recognition technology), the system sends a safety field verification message on the vehicle display or the trainee's smart terminal, which explicitly requires the trainee to actively observe and feedback the field boundary features that can be observed by the trainee, but does not directly display the standard field boundary image features of the safety field. For example, the message content is: "Please observe the left rearview mirror area and describe the position of the farthest parking line or road cone visible in the mirror." After observation, the trainee selects the feature position through voice input (for example: "The left rearview mirror can only see half of the parking line") or touch screen input, and sends a feedback message of the actual observation field boundary to the system. For example, the trainee feedback: "The end of the ground parking line in front of the front windshield cannot be seen, only the front end can be seen." The system immediately receives and records the feedback of the actual field of view information. After receiving the trainee's feedback message, the system automatically compares the feedback actual field of view feature position with the standard safety field of view boundary feature position determined in step 2 in real time to determine the difference between the current seat position and posture and the required position of the standard field of view. For example, the system determines through an algorithm that the trainee's actual observation field of view is 5 cm away from the standard field of view or the pitch angle is about 3 degrees. The system then sends a control signal to the electric seat adjustment device of the driver's seat, including: seat height motor adjustment (for example, rise 2 cm); seat front and rear position electric adjustment (for example, slide forward 3 cm); automatic fine-tuning of the backrest angle (for example, the backrest tilts forward 2 degrees). The above automatic adjustment process is realized by the electric adjustment unit built into the seat. The trainee does not need to operate manually, and only needs to maintain the original sitting posture to achieve field of view optimization. After the seat is automatically adjusted, the system sends a request to obtain the boundary feature of the actual field of view again, and the trainee re-feeds back the actual field of view information. The system analyzes the difference between the feedback actual field of view and the standard field of view position again. If there is still a deviation, the system automatically fine-tunes the seat position again, and the cycle continues until the trainee's actual field of view fully meets the safety standard field of view. Through the automatic seat adjustment process, the tedious process of the trainee repeatedly manually adjusting the seat and rearview mirror is avoided, and the efficiency of field of view correction is greatly improved. For example, the original 3-5 minutes of manual repeated attempts can be shortened to 30 seconds for precise adjustment after using this embodiment. Students actively observe and provide feedback on their own visual field boundaries, and the system accurately and automatically adjusts the seat position to avoid errors caused by subjective blind adjustments. Students can accurately meet the safety visual field standards during their first training, reducing emergency braking or steering wheel loss caused by blind spots, and significantly improving the efficiency and safety of driving skill learning.

[0071] According to some embodiments, further comprising:

[0072] When the current visual boundary of the trainee does not match the range of the safe visual area, the vehicle is kept stopped.

[0073] In one embodiment, it also includes:

[0074] In the case that the current visual field boundary of the trainee does not match the range of the safe visual area, the vehicle is controlled not to respond to the vehicle start operation of the trainee.

[0075] It is understandable that in order to further improve the safety and effectiveness of driving training, an additional vehicle safety control linkage mechanism is set up on the basis of real-time verification and adjustment of the trainee's field of view. When the system detects that the trainee's current field of view boundary fails to meet the pre-set safe visual area range standard (that is, the trainee's field of view still has obvious blind spots or deficiencies), the system automatically triggers the vehicle's safety restriction mode and controls the vehicle to temporarily not respond to the start command issued by the trainee (for example, prohibiting ignition or restricting the vehicle from entering driving mode) until the trainee's field of view reaches the safety range standard required by the system through automatic or manual adjustment of the seat. This method forces trainees to ensure that their field of view fully meets the safe driving standard before driving the vehicle, thereby greatly reducing the risk of driving accidents caused by insufficient field of view and significantly improving the overall safety and effectiveness of driving training.

[0076] See also Figure 2 , an embodiment of the real vehicle driving training auxiliary adjustment device in the embodiment of the present application may include:

[0077] The acquisition unit 201 is used to acquire actual image data of the current environment area outside the vehicle through the vehicle-mounted imaging device;

[0078] An analysis unit 202 is used to determine a safe visual area range in which a vehicle driver can drive safely in the actual image data of the current environment area based on the vehicle type of the vehicle;

[0079] The verification unit 203 is used to send a safety field of view verification message to the trainee based on the image data of the safe visual area range determined in the actual image data when the trainee enters the driving seat, and the field of view verification message is used to verify the current field of view boundary of the trainee.

[0080] In summary, the real-vehicle driving training auxiliary adjustment device provided in the above embodiment obtains the actual image data of the current environment area outside the vehicle through the vehicle-mounted imaging device; determines the safe visual area range in which the vehicle driver can drive safely in the actual image data of the current environment area based on the vehicle type of the vehicle; when the trainee is monitored to enter the driving position, according to the image data of the safe visual area range determined in the actual image data, a safe field of view verification message is sent to the trainee, and the field of view verification message is used to verify the current field of view boundary of the trainee. It can effectively identify and promptly correct the blind spot problems caused by the limited field of view of the trainee during the driving training process, and help the trainee form scientific and reasonable observation habits. The trainee can capture road environment information faster, thereby significantly reducing the misjudgment caused by the blind spot of the field of view and the over-correction of driving actions (such as emergency braking, unstable steering wheel). In addition, the additional attention burden caused by poor field of view is effectively reduced, and the trainee can focus more on other important driving skills training (such as accurate reversing into the warehouse, changing lanes and overtaking, etc.), which improves the learning efficiency and safety of driving training as a whole.

[0081] above Figure 2 The actual vehicle driving training auxiliary adjustment device in the embodiment of the present application is described from the perspective of modular functional entities. The actual vehicle driving training auxiliary adjustment device in the embodiment of the present application is described in detail from the perspective of hardware processing. Please refer to Figure 3 , an embodiment of the real vehicle driving training auxiliary adjustment device 300 in the embodiment of the present application includes:

[0082] An input device 301, an output device 302, a processor 303 and a memory 304, wherein the number of the processor 303 can be one or more. Figure 3 In some embodiments of the present application, the input device 301, the output device 302, the processor 303 and the memory 304 may be connected via a bus or other means, wherein: Figure 3 The example of connecting through bus is taken in the following.

[0083] Wherein, by calling the operation instructions stored in the memory 304, the processor 303 is used to execute the above steps.

[0084] By calling the operation instructions stored in the memory 304, the processor 303 is also used to execute Figure 1 Any method in the corresponding embodiment.

[0085] See also Figure 4 , Figure 4 A schematic diagram of an electronic system according to an embodiment of the present application.

[0086] like Figure 4As shown, an embodiment of the present application provides an electronic system, including a memory 410, a processor 420, and a computer program 411 stored in the memory 420 and executable on the processor 420. The above steps are implemented when the processor 420 executes the computer program 411.

[0087] In the specific implementation process, when the processor 420 executes the computer program 411, it can achieve Figure 1 Any implementation manner in the corresponding embodiments.

[0088] Since the electronic system introduced in this embodiment is a device used to implement a real vehicle driving training auxiliary adjustment device in the embodiment of the present application, based on the method introduced in the embodiment of the present application, technical personnel in this field can understand the specific implementation method of the electronic system of this embodiment and its various variations. Therefore, how the electronic system implements the method in the embodiment of the present application is not introduced in detail here. As long as the equipment used by technical personnel in this field to implement the method in the embodiment of the present application is within the scope of protection of this application.

[0089] See also Figure 5 , Figure 5 A schematic diagram of an embodiment of a computer-readable storage medium provided in an embodiment of the present application.

[0090] like Figure 5 As shown, this embodiment provides a computer-readable storage medium 500 on which a computer program 511 is stored. When the computer program 511 is executed by a processor, the above steps are implemented.

[0091] In the specific implementation process, when the computer program 511 is executed by the processor, it can achieve Figure 1 Any implementation manner in the corresponding embodiments.

[0092] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0093] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0094] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0095] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0096] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0097] The present application also provides a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device is caused to execute the following Figure 1 The process in the actual vehicle driving training auxiliary adjustment method in the corresponding embodiment.

[0098] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from a website site, a computer, a server, or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server, or data center. The computer-readable storage medium may be any available medium that a computer can store or a data storage device such as a server or a data center that includes one or more available media integrated. The available medium may be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state disk (SSD)), etc.

[0099] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0100] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0101] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0102] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0103] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store program codes.

[0104] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A real vehicle driving training auxiliary adjustment method, characterized in that: include: Acquire actual image data of the current environment area outside the vehicle through the on-board imaging device; Determining a safe visual area range in which a vehicle driver can drive safely in actual image data of the current environment area based on the vehicle type of the vehicle; When a trainee is detected entering the driving seat, a safety field of view verification message is sent to the trainee based on the image data of the safe visual area range determined in the actual image data, and the field of view verification message is used to verify the current field of view boundary of the trainee.

2. The method according to claim 1, characterized in that Also includes: In the case where the trainee is monitored to enter the driving seat, a plurality of safe visual area range boundary image features are extracted according to the image data of the safe visual area range determined in the actual image data.

3. The method according to claim 1, characterized in that The safety field of view verification message includes the multiple safety visual area range boundary image features, and the safety field of view verification message is used to confirm to the trainee whether the multiple safety visual area range boundary image features are visible, so that the trainee can manually adjust the seat and posture according to the multiple safety visual area range boundary image features until all the safety visual area range boundary image features are seen.

4. The method according to claim 1, characterized in that The safety vision verification message includes a request for obtaining the boundary feature of the trainee's actual vision and does not include the boundary image feature of the safety visual area range, and the method further includes: receiving a feedback message from the trainee in response to the trainee's request for obtaining the actual visual field boundary feature, wherein the feedback message includes the actual visual field boundary feature information answered by the trainee; A vehicle driver's seat adjustment prompt message is generated based on the actual field of view boundary feature information and the positional relationship between the multiple safe visual area boundary image features in the actual image data of the current environment area, so that the trainee can manually adjust the seat and posture based on the prompt message so that the actual field of view is close to the safe visual area range.

5. The method according to claim 1, characterized in that The safety vision verification message includes a request for obtaining the boundary feature of the trainee's actual vision and does not include the boundary image feature of the safety visual area range, and the method further includes: receiving a feedback message from the trainee in response to the trainee's request for obtaining the actual visual field boundary feature, wherein the feedback message includes the actual visual field boundary feature information answered by the trainee; Based on the positional relationship between the actual field of view boundary feature information and the plurality of safe visual area range boundary image features in the actual image data of the current environment area, the vehicle driving seat is automatically adjusted to match the trainee's actual field of view with the image data of the safe visual area range.

6. The method according to any one of claims 1 to 5, characterized in that When the trainee is detected to enter the driving seat, sending a safety field of view verification message to the trainee according to the image data of the safe visual area range determined in the actual image data includes: When a trainee is detected entering the driving seat, the image data of the safe visual area range is displayed on the trainee's smart terminal or the vehicle's onboard display based on the image data of the safe visual area range determined in the actual image data.

7. The method according to any one of claims 1 to 5, characterized in that Also includes: In the case that the current visual field boundary of the trainee does not match the range of the safe visual area, the vehicle is controlled not to respond to the vehicle start operation of the trainee.

8. A real vehicle driving training auxiliary adjustment device, characterized in that: include: A collection unit, used to obtain actual image data of the current environment area outside the vehicle through an on-board imaging device; An analysis unit, configured to determine, based on the vehicle type of the vehicle, a range of a safe visual area in which a vehicle driver can drive safely in the actual image data of the current environment area; A verification unit is used to send a safety field of view verification message to the trainee based on the image data of the safe visual area range determined in the actual image data when a trainee is detected entering the driving seat, wherein the field of view verification message is used to verify the current field of view boundary of the trainee.

9. An electronic system, comprising a memory and a processor, characterized in that: The processor is used to implement the steps of the real vehicle driving training auxiliary adjustment method as described in any one of claims 1 to 7 when executing the computer program stored in the memory.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the real vehicle driving training auxiliary adjustment method as claimed in any one of claims 1 to 7 are implemented.

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