Control system and method for adaptively adjusting position of outside rear-view mirror based on DMS

Abstract

The invention relates to the technical field of automobiles, in particular to a control system and method for self-adaptively adjusting the position of an outside rear-view mirror based on a DMS. The control system comprises a static judgment module, a dynamic judgment module, a DMS main module, a seat adjusting module, a memory module, an information acquisition module, a data analysis module, a rearview mirror adjusting module and a feedback optimization module. The information acquisition module and the data analysis module work cooperatively, so that the system can calculate the optimal view angle and position according to real-time road and vehicle driving information, and finally, the feedback optimization module continuously optimizes the system performance by collecting the adjustment effect and the driver satisfaction degree, so that the system performance is improved. According to the method, a closed-loop continuous improvement process is formed, and the method not only improves the efficiency and accuracy of adjustment, but also ensures that the system can continuously adapt and learn along with the passage of time so as to provide more personalized and safer driving experience.

Description

Technical Field

[0001] The present invention relates to the field of automobile technology, and more specifically, to a control system and method for adaptively adjusting the position of an exterior rearview mirror based on a DMS. Background Art

[0002] As an important tool for drivers to judge the driving environment, it is crucial for the exterior mirror to be within the driver's proper field of vision. The traditional method of manually adjusting the exterior mirror is time-consuming and the adjustment effect cannot be guaranteed. In addition, when the driver adjusts the seat or changes the driver in the same car, the position of the exterior mirror needs to be adjusted, which becomes a great pain point for users. A more intelligent exterior mirror adjustment method is urgently needed to solve this problem.

[0003] With the mandatory installation requirements for two passenger and one dangerous goods vehicles in China and DMS becoming a key factor and necessary condition for Euro NCAP's five-star safety rating, many companies have started to provide DMS services in the past two years, but few have made profits. However, DMS has become a standard feature of new models. Research has found that implementing adaptive adjustment of car exterior mirrors based on DMS can not only expand the application scenarios of DMS, but also solve the problem that users spend time manually adjusting the rearview mirrors and the adjustment effect cannot be guaranteed.

[0004] Currently, there are systems on the market that can achieve adaptive adjustment of automobile exterior rearview mirrors through DMS. For example, patent publication number CN112572295B is a system and method for automatically controlling automobile rearview mirrors based on DMS cameras. By setting a first DMS camera, an automobile rearview mirror structure system and a central processing unit, the driver's eye information is captured, and according to the eye position captured by the first DMS camera and the pre-stored standard angle coordinates of the left rearview mirror and the right rearview mirror, the first electric mechanism is controlled to drive the left rearview mirror and the right rearview mirror to rotate, and the left rearview mirror and the right rearview mirror are adjusted to a position suitable for the driver's eye position. The angle position of the rearview mirror can be adjusted according to the driver's actual riding situation to adapt to the driver's actual usage needs. It can meet the scenario where there are multiple drivers in the same car, providing the driver with a more convenient, effective and comfortable experience.

[0005] However, the system is unable to adjust the exterior mirrors to the optimal position and angle during dynamic driving of the vehicle to ensure that the driver has the best field of view during driving. At the same time, the system and method do not have the functions of personalized customization and intelligent optimization. Summary of the invention

[0006] The object of the present invention is to provide a control system for adaptively adjusting the position of an exterior rearview mirror based on DMS, so as to solve the problems raised in the above-mentioned background technology.

[0007] To achieve the above object, the present invention provides the following technical solutions: a control system for adaptively adjusting the position of exterior rearview mirrors based on DMS, the control system comprising a static judgment module, a dynamic judgment module, a DMS main module, a seat adjustment module, a memory module, an information collection module, a data analysis module, a rearview mirror adjustment module and a feedback optimization module; The static judgment module is used to judge whether the driver is driving a vehicle equipped with the control system for the first time when the vehicle is stationary; the dynamic judgment module is used to judge whether the vehicle equipped with the control system is in dynamic driving when the vehicle is in motion; The DMS main module is used to capture the driver's physiological information and transmit the driver's physiological information to the seat adjustment module or the information acquisition module; The seat adjustment module is used to receive the driver's physiological information from the DMS module, and adjust the driver's seat in the cockpit according to the driver's physiological information, and feedback to the memory module after the adjustment is completed; The memory module is used to record the current seat information for subsequent driver selection; The information collection module is used to collect road information and vehicle driving information, and feed it back to the data analysis module; The data analysis module is used to analyze and calculate the driver's current dynamic physiological information, road information and vehicle driving information, determine the driver's current driving intention, calculate the best field of view, and feed back to the rearview mirror adjustment module; The rearview mirror adjustment module is used to receive data from the memory module and the data analysis module, and adjust the rearview mirror; The feedback optimization module collects feedback on the effects of adjustments after execution, analyzes the adjustment effects and driver satisfaction, identifies potential problems and room for improvement, and continuously optimizes the system.

[0008] A further technical solution of the present application: the DMS main module includes a static acquisition module and a dynamic acquisition module; The static acquisition module is used to obtain the static physiological information of the driver when the vehicle stops; The dynamic acquisition module is used to obtain the dynamic physiological information of the driver when the vehicle is driving dynamically.

[0009] A further technical solution of the present application is as follows: the static physiological information includes the driver's height, sitting posture and line of sight direction, and the dynamic physiological information includes identifying the changing trend of the driver's head position, line of sight direction and body posture.

[0010] A further technical solution of the present application: the road information includes road alignment, road slope, road width, number of lanes, intersection type, number of lanes on the main road at the intersection, number of lanes on the intersecting roads, traffic volume at the intersection and road conditions; the vehicle driving information includes current speed, average speed, maximum speed, current position of the vehicle, braking distance, braking time, steering angle and current lighting information of the vehicle.

[0011] A further technical solution of the present application: the control system also includes a safety monitoring and early warning module, which is used to monitor the driver's line of sight and concentration in real time during the adjustment process, and issue a warning signal if it is detected that the driver's line of sight is deviated or the attention is not focused.

[0012] The present application also provides a control method for adaptively adjusting the position of an exterior rearview mirror based on a DMS, the control method comprising the following steps: S1: starting a static judgment module to determine whether the driver is driving the vehicle for the first time; S2: If the driver is driving for the first time, start the static acquisition module of the DMS main module to obtain the driver's static physiological information; S3: Using static physiological information, the driver's seat is automatically adjusted through the seat adjustment module, and the driver confirms the adjustment result; S4: starting a dynamic judgment module to monitor whether the vehicle is in a driving state; S5: When the vehicle is driving, the dynamic acquisition module of the DMS main module is started to obtain the dynamic physiological information of the driver; S6: Collect road and vehicle driving information through the information collection module; S7: The data analysis module processes dynamic physiological information, road information, and vehicle driving information to determine the driver's driving intention and calculate the optimal field of view; S8: The rearview mirror adjustment module automatically adjusts the position of the rearview mirror according to the calculation result of the data analysis module; S9: The feedback optimization module collects and analyzes the adjustment effects, interacts with the driver to evaluate satisfaction, and continuously optimizes the system.

[0013] A further technical solution of the present application: the step S7 further includes the following steps: S7.1: Receive the driver's dynamic physiological information from the dynamic acquisition module of the DMS main module, including the change trend of the head position, sight direction and body posture; S7.2: receiving road information from the information collection module, including road alignment, road slope, road width, number of lanes, intersection type, number of lanes of the main road at the intersection, number of lanes of the intersecting road, traffic volume at the intersection, and road surface conditions; S7.3: Receive vehicle driving information from the information collection module, including current speed, average speed, maximum speed, current position of the vehicle, braking distance, braking time, steering angle and current lighting information of the vehicle; S7.4: Format and standardize the collected data, analyze the driver's dynamic physiological information using machine learning algorithms or rule engines, and identify the driver's driving behavior patterns and intentions; S7.5: Combine road information and vehicle driving information to further verify and refine the driver's driving intention; S7.6: Calculate the optimal mirror field of view angle and position based on the driver's driving intention and the vehicle's driving status, taking into account road conditions and traffic conditions, and adjust the field of view calculation results to ensure that the best field of view is provided in all situations; S7.7: Compare the calculated field of view angle and position with the current mirror settings to determine whether adjustment is required; S7.8: if adjustment is required, an adjustment instruction is generated and executed by the rearview mirror adjustment module; S7.9: Feedback the results of the field of view calculation and adjustment to the feedback optimization module for subsequent system optimization and performance evaluation.

[0014] A further technical solution of the present application: the step S9 further includes the following steps: S9.1: Automatically record the change in field of view after rearview mirror adjustment and the driver's physiological feedback data; S9.2: Ask the driver about his / her satisfaction with the adjustment effect through the vehicle interface or voice interaction system; S9.3: Use data analytics techniques to evaluate system performance and user satisfaction, combined with collected data and driver feedback; S9.4: Based on the evaluation results, formulate and implement system optimization measures, including software upgrades and parameter adjustments; S9.5: Put the optimized system back into operation, collect new feedback data, and form a closed loop of continuous improvement.

[0015] A further technical solution of the present application: the step S7.4 further includes the following steps: S7.4.1: Clean the collected dynamic physiological information, road information, and vehicle driving information to remove noise and outliers to ensure data quality, convert the cleaned data into a unified format for subsequent analysis and processing, and standardize the data to make data from different sources and different dimensions comparable and improve the accuracy of the analysis; S7.4.2: Extract features from the standardized data that help identify driving behavior patterns, including trends in the driver's head position, gaze direction, and body posture. S7.4.3: Use machine learning algorithms or rule engines to train models based on extracted features to identify the driver's driving behavior patterns and intentions; S7.4.4: Training and validation of machine learning models can be performed using cross-validation or confusion matrix methods; S7.4.5: Analyze the recognition results, match the driver's driving intention and behavior pattern with the vehicle's driving status, provide a basis for rearview mirror adjustment, and adjust the rearview mirror position based on the analysis results to provide the best driving field of view.

[0016] A further technical solution of the present application: the step S7.6 further includes the following steps: S7.6.1: Conduct a comprehensive analysis based on the driver’s driving intention, vehicle driving status, and real-time road and traffic conditions; S7.6.2: Using the comprehensive analysis results, calculate the optimal rearview mirror field of view angle and position through geometric optics calculations and machine learning models; S7.6.3: Adjust mirrors based on calculations and optimize field of view based on driver feedback to ensure field of view settings meet actual driving needs and are continuously improved.

[0017] Compared with the prior art, the technical solution provided by the present invention has the following beneficial effects: The control system for adaptively adjusting the position of the exterior rearview mirror based on DMS of the present invention provides a real-time adjustment function during the dynamic movement of the vehicle, significantly improving driving safety and comfort. The system intelligently identifies whether the driver is driving for the first time or whether the vehicle is in a driving state through static and dynamic judgment modules, thereby automatically starting the corresponding mediation process. The static acquisition and dynamic acquisition modules of the DMS main module can accurately capture the driver's physiological information, including height, sitting posture, line of sight direction, and the changing trends of the head position and body posture. This information is used in the seat adjustment module and the rearview mirror adjustment module to achieve personalized adjustment. The control method provided by the present invention ensures the accuracy and real-time performance of rearview mirror adjustment through a series of precise steps. First, the startup of the static judgment module and the dynamic judgment module provides the system with an initial adjustment basis. Then, the DMS main module automatically adjusts the seat and the rearview mirror according to the static and dynamic physiological information of the driver to meet the driver's personal needs. The coordinated work of the information acquisition module and the data analysis module enables the system to calculate the optimal field of view angle and position according to real-time road and vehicle driving information. Finally, the feedback optimization module continuously optimizes the system performance by collecting the adjustment effect and driver satisfaction, forming a closed-loop continuous improvement process. This method not only improves the efficiency and accuracy of the adjustment, but also ensures that the system can continuously adapt and learn over time to provide a more personalized and safe driving experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is a system block diagram of the present invention; Figure 2 It is the work flow chart of the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. The present invention is further described below in combination with the embodiments.

[0020] See also Figure 1 and Figure 2 , in an embodiment of the present application, a control system for adaptively adjusting the position of an exterior rearview mirror based on a DMS, the control system comprising a static judgment module, a dynamic judgment module, a DMS main module, a seat adjustment module, a memory module, an information collection module, a data analysis module, a rearview mirror adjustment module and a feedback optimization module; The static judgment module is used to judge whether the driver is driving a vehicle equipped with the control system for the first time when the vehicle is stationary; the dynamic judgment module is used to judge whether the vehicle equipped with the control system is in dynamic driving when the vehicle is in motion; The DMS main module is used to capture the driver's physiological information and transmit the driver's physiological information to the seat adjustment module or the information acquisition module; The seat adjustment module is used to receive the driver's physiological information from the DMS module, and adjust the driver's seat in the cockpit according to the driver's physiological information, and feedback to the memory module after the adjustment is completed; The memory module is used to record the current seat information for subsequent driver selection; The information collection module is used to collect road information and vehicle driving information, and feed it back to the data analysis module; The data analysis module is used to analyze and calculate the driver's current dynamic physiological information, road information and vehicle driving information, determine the driver's current driving intention, calculate the best field of view, and feed back to the rearview mirror adjustment module; The rearview mirror adjustment module is used to receive data from the memory module and the data analysis module, and adjust the rearview mirror; The feedback optimization module collects feedback on the effects of adjustments after execution, analyzes the adjustment effects and driver satisfaction, identifies potential problems and room for improvement, and continuously optimizes the system.

[0021] Specifically, when the driver enters the vehicle and starts the engine, the static judgment module of the system is activated. This module uses the vehicle's identification system (such as a key card or biometric system) to determine whether the driver is driving the vehicle for the first time. If it is the first time, the static judgment module triggers the static acquisition module of the DMS main module to obtain static physiological information such as the driver's height, sitting posture and line of sight; the seat adjustment module automatically adjusts the seat based on this information to ensure the driver's comfort and optimal field of view. After the adjustment is completed, the seat position information is recorded in the memory module.

[0022] Once the vehicle starts to move, the dynamic judgment module confirms that the vehicle is in a dynamic driving state and activates the dynamic acquisition module of the DMS main module. The dynamic acquisition module monitors the changes in the driver's head position, line of sight direction and body posture in real time. This information is transmitted to the data analysis module. The information acquisition module collects road information (such as road line shape, slope, width, etc.) and vehicle driving information (such as speed, position, steering angle, etc.) at the same time. The data analysis module combines this information, analyzes the driver's driving intention, and calculates the best field of view setting. For example, if the system detects that the driver frequently checks the side, it may automatically adjust the rearview mirror to reduce the blind spot; and according to the calculation results of the data analysis module, the rearview mirror adjustment module automatically adjusts the angle and position of the exterior rearview mirror to provide the best field of view.

[0023] The adjusted field of view setting is fed back to the memory module for quick adjustment based on the driver's preferences in future driving sessions. The feedback optimization module collects the driver's feedback after the adjustment and may assess satisfaction through a simple survey on the in-vehicle interface or by monitoring the driver's physiological reactions (such as heart rate, skin electrical response, etc.). The system self-learns based on the collected data and feedback and continuously optimizes the adjustment algorithm to improve future adjustment effects and driver satisfaction.

[0024] Furthermore, the DMS main module includes a static acquisition module and a dynamic acquisition module; The static acquisition module is used to obtain the static physiological information of the driver when the vehicle stops; The dynamic acquisition module is used to obtain the dynamic physiological information of the driver when the vehicle is driving dynamically.

[0025] Furthermore, the static physiological information includes the driver's height, sitting posture and sight direction, and the dynamic physiological information includes identifying the changing trend of the driver's head position, sight direction and body posture.

[0026] Furthermore, the road information includes road alignment, road slope, road width, number of lanes, intersection type, number of lanes on the main road at the intersection, number of lanes on the intersecting roads, intersection traffic volume and road conditions; the vehicle driving information includes current speed, average speed, maximum speed, current vehicle position, braking distance, braking time, steering angle and current vehicle lighting information.

[0027] Furthermore, the control system also includes a safety monitoring and early warning module for monitoring the driver's line of sight and concentration in real time during the adjustment process, and issuing an early warning signal if it is detected that the driver's line of sight is deviated or the attention is not focused.

[0028] Specifically, in this embodiment, a series of highly integrated modules are used to achieve real-time adjustment of the rearview mirror during dynamic driving of the vehicle. The core of the system lies in its static and dynamic acquisition modules, which respectively acquire the driver's physiological information when the vehicle is stopped and in motion. The static acquisition module acquires information such as the driver's height, sitting posture, and line of sight when the vehicle is not moving, while the dynamic acquisition module captures the changing trend of the driver's head position, line of sight direction, and body posture when the vehicle is moving.

[0029] In addition, the system also includes a safety monitoring and warning module, which monitors the driver's line of sight and concentration in real time during the adjustment process. Once the driver's line of sight is deviated or inattentive, the system will immediately issue a warning signal to prevent potential traffic accidents. This real-time monitoring and warning function, combined with the dynamic adjustment of the position of the exterior rearview mirror, significantly improves driving safety.

[0030] The system also collects road information and vehicle driving information, such as road line type, speed and position, through the information acquisition module. This information is used by the data analysis module to calculate the best field of view. The rearview mirror adjustment module automatically adjusts the position of the rearview mirror based on this data and the driver's physiological information to provide the best field of view. The entire adjustment process is carried out dynamically while the vehicle is driving, ensuring that the driver always has the best rear view, thereby improving driving safety and comfort.

[0031] Finally, the feedback optimization module collects feedback on the effects of adjustments after execution, analyzes the adjustment effect and driver satisfaction, identifies potential problems and room for improvement, and continuously optimizes the system. This closed-loop feedback mechanism ensures that the system can continuously learn and adapt to provide more personalized and accurate services. In this way, the system not only improves the efficiency and accuracy of adjustments, but also ensures that the system can continuously adapt to user needs and technological advances over time to achieve long-term performance improvements.

[0032] The present application provides a control method for adaptively adjusting the position of an exterior rearview mirror based on a DMS, the control method comprising the following steps: S1: starting a static judgment module to determine whether the driver is driving the vehicle for the first time; S2: If the driver is driving for the first time, start the static acquisition module of the DMS main module to obtain the driver's static physiological information; S3: Using static physiological information, the driver's seat is automatically adjusted through the seat adjustment module, and the driver confirms the adjustment result; S4: starting a dynamic judgment module to monitor whether the vehicle is in a driving state; S5: When the vehicle is driving, the dynamic acquisition module of the DMS main module is started to obtain the dynamic physiological information of the driver; S6: Collecting road and vehicle driving information through the information collection module; S7: The data analysis module processes dynamic physiological information, road information, and vehicle driving information to determine the driver's driving intention and calculate the optimal field of view; S8: The rearview mirror adjustment module automatically adjusts the position of the rearview mirror according to the calculation result of the data analysis module; S9: The feedback optimization module collects and analyzes the adjustment effects, interacts with the driver to evaluate satisfaction, and continuously optimizes the system.

[0033] Specifically, when the driver enters the vehicle and starts the engine, the system first determines whether the driver is driving the vehicle for the first time through the static judgment module. This step is completed through the vehicle's identification system (such as key card, fingerprint or facial recognition); if the system determines that the driver is driving for the first time, the static acquisition module of the DMS main module is activated and begins to obtain the driver's static physiological information, including height, sitting posture and line of sight direction. This information is collected through sensors and cameras installed in the cockpit; Based on the collected static physiological information, the seat adjustment module automatically adjusts the driver's seat to ensure the best driving position and field of view. The driver can confirm the adjustment results to ensure that comfort and personalized needs are met.

[0034] Once the vehicle starts to move, the dynamic judgment module is activated to monitor the vehicle's driving status and ensure that the system can respond to changes in driving conditions in a timely manner. During the vehicle's driving, the dynamic acquisition module of the DMS main module obtains the driver's dynamic physiological information in real time, including the changing trends of head position, sight direction and body posture. This information is crucial to understanding the driver's immediate needs and intentions. The system collects road and vehicle driving information such as road alignment, speed, position, etc. through the information acquisition module. These data provide an important basis for subsequent data analysis and rearview mirror adjustment.

[0035] The data analysis module processes the collected dynamic physiological information, road information and vehicle driving information, determines the driver's driving intention, and calculates the best field of view setting. This step uses algorithms and machine learning technology to ensure the accuracy and real-time nature of the calculation results. According to the calculation results of the data analysis module, the rearview mirror adjustment module automatically adjusts the position of the exterior rearview mirror to provide the best field of view. This process is completed automatically without driver intervention.

[0036] The feedback optimization module collects feedback from drivers after adjustment and evaluates the adjustment effect and satisfaction. The system conducts self-learning and optimization based on this feedback to continuously improve the accuracy and personalization level of adjustment.

[0037] Through this series of steps, this embodiment provides an efficient and intelligent rearview mirror adjustment method, which can adjust the rearview mirror in real time during the dynamic driving of the vehicle to adapt to the driver's physiological characteristics and driving environment, thereby significantly improving driving safety and comfort.

[0038] Furthermore, the step S7 also includes the following steps: S7.1: Receive the driver's dynamic physiological information from the dynamic acquisition module of the DMS main module, including the change trend of the head position, sight direction and body posture; S7.2: receiving road information from the information collection module, including road alignment, road slope, road width, number of lanes, intersection type, number of lanes of the main road at the intersection, number of lanes of the intersecting road, traffic volume at the intersection, and road surface conditions; S7.3: Receive vehicle driving information from the information collection module, including current speed, average speed, maximum speed, current position of the vehicle, braking distance, braking time, steering angle and current lighting information of the vehicle; S7.4: Format and standardize the collected data, analyze the driver's dynamic physiological information using machine learning algorithms or rule engines, and identify the driver's driving behavior patterns and intentions; S7.5: Combine road information and vehicle driving information to further verify and refine the driver's driving intention; S7.6: Calculate the optimal mirror field of view angle and position based on the driver's driving intention and the vehicle's driving status, taking into account road conditions and traffic conditions, and adjust the field of view calculation results to ensure that the best field of view is provided in all situations; S7.7: Compare the calculated field of view angle and position with the current mirror settings to determine whether adjustment is required; S7.8: if adjustment is required, an adjustment instruction is generated and executed by the rearview mirror adjustment module; S7.9: Feedback the results of the field of view calculation and adjustment to the feedback optimization module for subsequent system optimization and performance evaluation.

[0039] Specifically, in this embodiment, the specific implementation is as follows: Use cameras and sensors installed in the cockpit, such as infrared cameras and motion sensors, to capture the driver's head and body movements, obtain road information through the vehicle's GPS system and map database, and sensors installed around the vehicle, such as radar and lidar, use the vehicle's on-board diagnostic system (OBD) and sensors, such as speed sensors and gyroscopes, to collect vehicle driving data, process the data through preset data cleaning rules and standardized processes, such as removing outliers and converting data formats, apply machine learning algorithms, such as decision trees or neural networks, to train and identify driver behavior patterns, use fuzzy logic or Bayesian networks and other technologies to combine multi-source information for comprehensive evaluation of driving intentions, use geometric optics principles and machine learning models to calculate the optimal rearview mirror angle and position, and send adjustment instructions to the rearview mirror adjustment motor through the electronic control unit (ECU) to achieve precise adjustment of the rearview mirror. Collect driver satisfaction scores and physiological response data, such as heart rate and skin galvanic response, through the vehicle feedback system, and collect adjusted field of view data through the vehicle's sensors.

[0040] Real-time monitoring of the driver's dynamic physiological information helps the system understand the driver's immediate needs and intentions, thereby providing more precise rearview mirror adjustment. Collecting road information and vehicle driving information enables the system to adjust the rearview mirror according to road conditions and vehicle status to provide the best field of view, especially in complex road environments.

[0041] The purpose of formatting and standardizing data is to ensure the accuracy and efficiency of analysis and improve the accuracy of system response. By analyzing the driver's dynamic physiological information, the system can predict the driver's behavior, such as the intention to change lanes or turn, and adjust the rearview mirror in advance. Combined with road and vehicle information, the system can more accurately confirm the driver's intention, reduce misjudgment, and improve the accuracy of adjustment. The optimal field of view is calculated based on the driver's intention and actual driving conditions to ensure that the driver can obtain the best field of view in various situations and reduce blind spots. The calculated field of view is automatically compared with the current setting, and adjustment instructions are generated when necessary to achieve automatic adjustment of the rearview mirror and improve driving safety. The feedback information after adjustment is used for system performance evaluation and continuous optimization to ensure that the system can continuously adapt to new driving conditions and driver needs.

[0042] Furthermore, the step S7.4 also includes the following steps: S7.4.1: Clean the collected dynamic physiological information, road information, and vehicle driving information to remove noise and outliers to ensure data quality, convert the cleaned data into a unified format for subsequent analysis and processing, and standardize the data to make data from different sources and different dimensions comparable and improve the accuracy of the analysis; S7.4.2: Extract features from the standardized data that help identify driving behavior patterns, including trends in the driver's head position, gaze direction, and body posture. S7.4.3: Use machine learning algorithms or rule engines to train models based on extracted features to identify the driver's driving behavior patterns and intentions; S7.4.4: Training and validation of machine learning models can be performed using cross-validation or confusion matrix methods; S7.4.5: Analyze the recognition results, match the driver's driving intention and behavior pattern with the vehicle's driving status, provide a basis for rearview mirror adjustment, and adjust the rearview mirror position based on the analysis results to provide the best driving field of view.

[0043] Specifically, data cleaning techniques, such as filtering and clustering algorithms, are used to remove noise and outliers from dynamic physiological information, road information, and vehicle driving information. Subsequently, the cleaned data is converted into a unified format and standardized, such as Z-score standardization, to ensure data comparability; feature engineering methods, such as principal component analysis (PCA) or autoencoders, are applied to extract key features from the standardized data, which can represent the changing trends of the driver's head position, line of sight direction, and body posture. Machine learning algorithms, such as support vector machines (SVM) or random forests, are used to train models based on the extracted features to identify the driver's driving behavior patterns and intentions. During the model training process, supervised learning is performed using labeled data sets; machine learning models are trained and validated through cross-validation, such as k-fold cross-validation, to evaluate the generalization ability of the model. At the same time, confusion matrices are used to quantify model performance and adjust model parameters to optimize prediction accuracy; the recognition results of the model are analyzed to match the driver's driving intentions and behavior patterns with the vehicle's driving status to provide a basis for rearview mirror adjustment. Based on the analysis results, the system automatically adjusts the rearview mirror position to provide the best driving field of view. During the adjustment process, the system will monitor the adjustment effect in real time and make fine adjustments as needed.

[0044] Through data cleaning and standardization, data quality is improved, the accuracy of analysis and the effectiveness of model training are ensured. Feature extraction helps to identify the most influential factors for driving behavior recognition from a large amount of data, improving the efficiency and accuracy of the model. The model is trained using machine learning algorithms, which can automatically identify complex driving behavior patterns, reduce dependence on manual rules, and improve the adaptability and accuracy of the system. The use of cross-validation and confusion matrix ensures the robustness and reliability of the model and improves the model's predictive ability on unknown data. By matching driving intentions with vehicle status, the system can intelligently adjust the rearview mirror to provide the best field of view, thereby improving driving safety and comfort. In addition, the system's real-time monitoring and fine-tuning capabilities ensure that the adjustment effect can meet the actual needs of the driver.

[0045] Furthermore, the step S7.6 also includes the following steps: S7.6.1: Conduct a comprehensive analysis based on the driver’s driving intention, vehicle driving status, and real-time road and traffic conditions; S7.6.2: Using the comprehensive analysis results, calculate the optimal rearview mirror field of view angle and position through geometric optics calculations and machine learning models; S7.6.3: Adjust mirrors based on calculations and optimize field of view based on driver feedback to ensure field of view settings meet actual driving needs and are continuously improved.

[0046] Specifically, during the operation of the system, the driver's driving intention, the vehicle's real-time driving status data, and the current road and traffic conditions are first integrated. This step involves fusing the data collected from the DMS main module, the information acquisition module, and the dynamic judgment module for comprehensive analysis; using the fused data, the system determines the ideal position of the rearview mirror through geometric optical calculations to eliminate blind spots and provide the best field of view. At the same time, machine learning models predict the optimal field of view angle based on historical data and current conditions. These models are able to learn the optimal field of view settings under different driving conditions; the system automatically adjusts the rearview mirror to the optimal position based on the calculation results. After adjustment, the system collects feedback information by directly asking the driver or by monitoring the driver's physiological reactions (such as eye movements, head posture, etc.). This feedback information is used to further optimize the field of view settings to ensure that it meets actual driving needs and enables the system to continue to learn and improve over time.

[0047] Among them, comprehensive analysis provides a comprehensive understanding of the driver's intentions and the current driving environment, allowing the system to make more accurate adjustment decisions. The combined use of geometric optical calculations and machine learning models not only ensures the scientificity and rationality of the rearview mirror position, but also enables the system to adapt to different driving conditions and driver preferences, improving the flexibility and accuracy of adjustment; the field of view optimization through driver feedback ensures that the system can continue to improve to adapt to the ever-changing driving environment and meet the driver's personalized needs. This feedback mechanism enables the system to achieve closed-loop control and continuously improve driving safety and comfort.

[0048] The control system for adaptively adjusting the position of the exterior rearview mirror based on DMS of the present invention provides a real-time adjustment function during the dynamic movement of the vehicle, significantly improving driving safety and comfort. The system intelligently identifies whether the driver is driving for the first time or whether the vehicle is in a driving state through static and dynamic judgment modules, thereby automatically starting the corresponding mediation process. The static acquisition and dynamic acquisition modules of the DMS main module can accurately capture the driver's physiological information, including height, sitting posture, line of sight direction, and the changing trends of the head position and body posture. This information is used in the seat adjustment module and the rearview mirror adjustment module to achieve personalized adjustment. The control method provided by the present invention ensures the accuracy and real-time performance of rearview mirror adjustment through a series of precise steps. First, the startup of the static judgment module and the dynamic judgment module provides the system with an initial adjustment basis. Then, the DMS main module automatically adjusts the seat and the rearview mirror according to the static and dynamic physiological information of the driver to meet the driver's personal needs. The coordinated work of the information acquisition module and the data analysis module enables the system to calculate the optimal field of view angle and position according to real-time road and vehicle driving information. Finally, the feedback optimization module continuously optimizes the system performance by collecting the adjustment effect and driver satisfaction, forming a closed-loop continuous improvement process. This method not only improves the efficiency and accuracy of the adjustment, but also ensures that the system can continuously adapt and learn over time to provide a more personalized and safe driving experience.

[0049] The above is a schematic description of the present invention and its implementation methods, which is not restrictive. The drawings show only one implementation method of the present invention, and the actual structure is not limited thereto. Therefore, if a person skilled in the art is inspired by it and creatively designs a structure and an embodiment similar to the technical solution without departing from the purpose of the invention, they should all fall within the protection scope of the present invention.

[0050] In addition, it should be understood that although this specification is described according to implementation modes, not every implementation mode contains only independent technical solutions. This narrative method of the specification is only for the sake of clarity. Those skilled in the art should take the specification as a whole. The technical solutions in each embodiment can also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. A control system for adaptively adjusting the position of exterior rearview mirrors based on DMS, characterized in that: The control system includes a static judgment module, a dynamic judgment module, a DMS main module, a seat adjustment module, a memory module, an information acquisition module, a data analysis module, a rearview mirror adjustment module and a feedback optimization module; The static judgment module is used to judge whether the driver is driving a vehicle equipped with the control system for the first time when the vehicle is stationary; the dynamic judgment module is used to judge whether the vehicle equipped with the control system is in dynamic driving when the vehicle is in motion; The DMS main module is used to capture the driver's physiological information and transmit the driver's physiological information to the seat adjustment module or the information acquisition module; The seat adjustment module is used to receive the driver's physiological information from the DMS module, and adjust the driver's seat in the cockpit according to the driver's physiological information, and feedback to the memory module after the adjustment is completed; The memory module is used to record the current seat information for subsequent driver selection; The information collection module is used to collect road information and vehicle driving information, and feed it back to the data analysis module; The data analysis module is used to analyze and calculate the driver's current dynamic physiological information, road information and vehicle driving information, determine the driver's current driving intention, calculate the best field of view, and feed back to the rearview mirror adjustment module; The rearview mirror adjustment module is used to receive data from the memory module and the data analysis module, and adjust the rearview mirror; The feedback optimization module collects feedback on the effects of adjustments after execution, analyzes the adjustment effects and driver satisfaction, identifies potential problems and room for improvement, and continuously optimizes the system.

2. The control system for adaptively adjusting the position of exterior rearview mirrors based on DMS according to claim 1, characterized in that: The DMS main module includes a static acquisition module and a dynamic acquisition module; The static acquisition module is used to obtain the static physiological information of the driver when the vehicle stops; The dynamic acquisition module is used to obtain the dynamic physiological information of the driver when the vehicle is driving dynamically.

3. The control system for adaptively adjusting the position of exterior rearview mirrors based on DMS according to claim 2, characterized in that: The static physiological information includes the driver's height, sitting posture and sight direction, and the dynamic physiological information includes identifying the changing trend of the driver's head position, sight direction and body posture.

4. The control system for adaptively adjusting the position of exterior rearview mirrors based on DMS according to claim 1, characterized in that: The road information includes road alignment, road slope, road width, number of lanes, intersection type, number of lanes on the main road at the intersection, number of lanes on the intersecting road, traffic volume at the intersection and road conditions; the vehicle driving information includes current speed, average speed, maximum speed, current vehicle position, braking distance, braking time, steering angle and current vehicle lighting information.

5. The control system for adaptively adjusting the position of exterior rearview mirrors based on DMS according to claim 1, characterized in that: The control system also includes a safety monitoring and warning module, which is used to monitor the driver's line of sight and concentration in real time during the adjustment process, and issue a warning signal if it is detected that the driver's line of sight is deviated or the attention is not focused.

6. A control method for adaptively adjusting the position of an exterior rearview mirror based on DMS, characterized in that: Applied to the control system for adaptively adjusting the position of the exterior rearview mirror based on DMS according to claims 1 to 5, the control method comprises the following steps: S1: starting a static judgment module to determine whether the driver is driving the vehicle for the first time; S2: If the driver is driving for the first time, start the static acquisition module of the DMS main module to obtain the driver's static physiological information; S3: Using static physiological information, the driver's seat is automatically adjusted through the seat adjustment module, and the driver confirms the adjustment result; S4: starting a dynamic judgment module to monitor whether the vehicle is in a driving state; S5: When the vehicle is driving, the dynamic acquisition module of the DMS main module is started to obtain the dynamic physiological information of the driver; S6: Collecting road and vehicle driving information through the information collection module; S7: The data analysis module processes dynamic physiological information, road information, and vehicle driving information to determine the driver's driving intention and calculate the optimal field of view; S8: The rearview mirror adjustment module automatically adjusts the position of the rearview mirror according to the calculation result of the data analysis module; S9: The feedback optimization module collects and analyzes the adjustment effects, interacts with the driver to evaluate satisfaction, and continuously optimizes the system.

7. The control method for adaptively adjusting the position of exterior rearview mirrors based on DMS according to claim 6, characterized in that: The step S7 also includes the following steps: S7.1: Receive the driver's dynamic physiological information from the dynamic acquisition module of the DMS main module, including the change trend of the head position, sight direction and body posture; S7.2: Receive road information from the information collection module, including road alignment, road slope, road width, number of lanes, intersection type, number of lanes of the main road at the intersection, number of lanes of the intersecting road, traffic volume at the intersection, and road surface conditions; S7.3: Receive vehicle driving information from the information collection module, including current speed, average speed, maximum speed, current position of the vehicle, braking distance, braking time, steering angle and current lighting information of the vehicle; S7.4: Format and standardize the collected data, analyze the driver's dynamic physiological information using machine learning algorithms or rule engines, and identify the driver's driving behavior patterns and intentions; S7.5: Combine road information and vehicle driving information to further verify and refine the driver's driving intention; S7.6: Calculate the optimal mirror field of view angle and position based on the driver's driving intention and the vehicle's driving status, taking into account road conditions and traffic conditions, and adjust the field of view calculation results to ensure that the best field of view is provided in all situations; S7.7: Compare the calculated field of view angle and position with the current mirror setting to determine whether adjustment is required; S7.8: if adjustment is required, an adjustment instruction is generated and executed by the rearview mirror adjustment module; S7.9: Feedback the results of the field of view calculation and adjustment to the feedback optimization module for subsequent system optimization and performance evaluation.

8. The control method for adaptively adjusting the position of exterior rearview mirrors based on DMS according to claim 6, characterized in that: The step S9 also includes the following steps: S9.1: Automatically record the change in field of view after rearview mirror adjustment and the driver's physiological feedback data; S9.2: Ask the driver about his / her satisfaction with the adjustment effect through the vehicle interface or voice interaction system; S9.3: Use data analytics techniques to evaluate system performance and user satisfaction, combined with collected data and driver feedback; S9.4: Based on the evaluation results, formulate and implement system optimization measures, including software upgrades and parameter adjustments; S9.5: Put the optimized system back into operation, collect new feedback data, and form a closed loop of continuous improvement.

9. The control method for adaptively adjusting the position of exterior rearview mirrors based on DMS according to claim 7, characterized in that: The step S7.4 also includes the following steps: S7.4.1: Clean the collected dynamic physiological information, road information, and vehicle driving information to remove noise and outliers to ensure data quality, convert the cleaned data into a unified format for subsequent analysis and processing, and standardize the data to make data from different sources and different dimensions comparable and improve the accuracy of the analysis; S7.4.2: Extract features from the standardized data that help identify driving behavior patterns, including trends in the driver's head position, gaze direction, and body posture. S7.4.3: Use machine learning algorithms or rule engines to train models based on extracted features to identify the driver's driving behavior patterns and intentions; S7.4.4: Training and validation of machine learning models can be performed using cross-validation or confusion matrix methods; S7.4.5: Analyze the recognition results, match the driver's driving intention and behavior pattern with the vehicle's driving status, provide a basis for rearview mirror adjustment, and adjust the rearview mirror position based on the analysis results to provide the best driving field of view.

10. The control method for adaptively adjusting the position of exterior rearview mirrors based on DMS according to claim 7, characterized in that: The step S7.6 also includes the following steps: S7.6.1: Conduct a comprehensive analysis based on the driver’s driving intention, vehicle driving status, and real-time road and traffic conditions; S7.6.2: Using the comprehensive analysis results, calculate the optimal rearview mirror field of view angle and position through geometric optics calculations and machine learning models; S7.6.3: Adjust mirrors based on calculations and optimize field of view based on driver feedback to ensure field of view settings meet actual driving needs and are continuously improved.

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