Self-closed-loop car lamp parameter configuration system

Abstract

The invention relates to a car lamp parameter configuration system, in particular to a self-closed-loop car lamp parameter configuration system. The self-closed-loop vehicle lamp parameter configuration system comprises a parameter configuration platform, an XCP calibration tool, a vehicle lamp controller, a vehicle lamp, a camera and an OTA online upgrading module, and is characterized in that vehicle lamp parameters are continuously optimized and improved on the basis of the platform-based parameter configuration system and through an XCP technology and a camera feedback module; the optimal working performance of the lamp light of the whole vehicle is achieved in an OTA online upgrading mode, the matching problem of the lamp and the problem that parameters of the lamp are not matched are greatly reduced, the calibration work of the lamp on the whole vehicle is reduced, and the after-sales upgrading cost is also reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle light control, and in particular to a vehicle light parameter configuration system, in particular to a self-closed loop vehicle light parameter configuration system. Background Art

[0002] Traditional headlight control systems usually need to customize control solutions for each type of lamp when facing multiple platform models and lamps from different manufacturers. This not only increases the complexity of development, but also leads to a lot of duplication of work, especially in current configuration, brightness adjustment and light effect setting. And every time the lamp model or supplier is changed, the OEM needs to redevelop the adaptive control strategy, which increases the development and debugging costs, and the hardware compatibility issue is more prominent.

[0003] In addition, traditional parameter configuration systems have advantages in calibrating static parameter values, but for systems that are changing in real time, it is difficult to effectively calibrate relevant parameters in the dynamic movement of the vehicle, such as ADB (adaptive high beam) angle information and illumination brightness. These parameters are recommended to be continuously tested using a dynamic, automated closed-loop feedback system to ultimately obtain an ideal value. Summary of the invention

[0004] The technical problem to be solved by the present invention is: in order to solve the problem that the traditional headlight control system in the above-mentioned background technology is difficult to effectively calibrate the relevant parameters in the dynamic motion of the vehicle, a self-closed-loop headlight parameter configuration system is provided, which sets platform parameters and performs continuous self-closed-loop optimization according to the actual conditions of different lamps to achieve the best lighting effect. By combining the XCP protocol and the camera's feedback system, continuous self-closed-loop optimization is performed to obtain an optimal parameter value to meet the control needs of different vehicle models and headlights.

[0005] The technical solution adopted by the present invention to solve the technical problem is: a self-closed-loop vehicle light parameter configuration system, comprising: Parameter configuration platform, used to set the hardware parameters and functional parameters of the headlights; XCP calibration tool, which obtains configuration parameters from the parameter configuration platform through the XCP protocol and feeds back the real-time operation data of the headlights to the parameter configuration platform; The headlight controller is connected to the XCP calibration tool through the CAN bus, and obtains the operating status data of the headlight through the real-time data acquisition channel, and adjusts the control parameters in real time according to the preset algorithm; The headlights, whose operating status is adjusted by the headlight controller according to real-time data; The camera collects the road light pattern image of the headlight and feeds it back to the headlight controller in real time. The headlight controller uses the image analysis algorithm to determine whether the light pattern meets the preset standard. If not, it automatically adjusts the headlight parameters. The OTA online upgrade module synchronizes the optimization suggestions or updated configurations of the parameter configuration platform to the server side of other vehicles through the Internet of Vehicles cloud server, thereby optimizing the lighting parameters of other vehicles.

[0006] The self-closed-loop lighting parameter configuration system realizes dynamic adjustment and intelligent control of lighting parameters through real-time data collection, analysis and feedback, significantly improving driving safety, driving experience and energy efficiency. At the same time, through the OTA online upgrade module and the Internet of Vehicles cloud server synchronization, remote optimization of lighting parameters and multi-vehicle collaboration are realized, improving the maintainability and scalability of the system.

[0007] According to an embodiment of the present invention, the hardware parameters of the headlights include brightness and current; the functional parameters of the headlights include illumination parameters of the ADB function, light pattern distribution and motor parameters of the AFS function, and light show function parameters.

[0008] The setting of hardware parameters (such as brightness and current) and functional parameters (such as ADB, AFS, light show, etc.) enables the lights to be flexibly adjusted according to different needs. Hardware parameters ensure the basic performance of the lights, while functional parameters support advanced functions (such as adaptive lighting, dynamic light pattern adjustment, etc.), thereby improving driving safety and user experience.

[0009] According to an embodiment of the present invention, the illumination parameters of the ADB function include illumination range, illumination angle, light type partitioning and brightness adjustment.

[0010] The illumination parameters of the ADB function (including illumination range, illumination angle, light pattern partitioning and brightness adjustment) enable the headlights to dynamically adjust the light beam according to the position of the vehicles and pedestrians ahead. This function avoids glare interference to the vehicles and pedestrians ahead, while ensuring that the driver obtains the best lighting effect, significantly improving the safety of night driving.

[0011] According to an embodiment of the present invention, the light pattern distribution parameters of the AFS function include light pattern distribution of urban roads, highways, and curved road modes, and the motor parameters of the AFS function include horizontal angle, vertical angle, and response time.

[0012] The light pattern distribution parameters of the AFS function (such as the light pattern distribution of urban roads, highways, and curve modes) and motor parameters (such as horizontal angle, vertical angle, and response time) enable the headlights to automatically adjust the beam distribution according to different road conditions. For example, in curve mode, the headlights will adjust the illumination angle in advance to illuminate the curve and improve driving safety. The precise control of the motor parameters ensures the rapidity and accuracy of the light pattern adjustment.

[0013] According to an embodiment of the present invention, the light show function parameters include lighting dynamic effects, color changes and rhythm control.

[0014] Light show function parameters (such as dynamic lighting effects, color changes and rhythm control) enable the lights to achieve a variety of cool lighting effects. This function not only enhances the visual appeal of the vehicle, but also supports customized management of lighting effects (such as flow, gradient, color change, etc.), enhancing the personalized experience of the vehicle.

[0015] According to one embodiment of the present invention, the camera is installed on the vehicle to capture the road ahead and the illumination area of ​​the headlights in real time, and transmit the image data to the headlight controller, which analyzes the illumination range, light pattern distribution and brightness of the light beam through an image processing algorithm. This real-time monitoring and feedback mechanism significantly improves the accuracy and reliability of headlight control.

[0016] According to an embodiment of the present invention, the camera also collects the position information of the target in front and its relative speed, transmits it to the headlight controller, and adjusts the brightness of the corresponding LED in the headlight according to the position and speed of the target, so that a dark area is formed at the location of the target. This function significantly improves the safety and comfort of night driving.

[0017] According to one embodiment of the present invention, the camera collects image data of the target object and the dark area, calculates the deviation between the dark area and the target object through an image recognition algorithm, and if the deviation is large, the parameter configuration system automatically adjusts the position, size and brightness parameters of the dark area, and updates the relevant parameters in the headlight controller through the XCP protocol. This closed-loop control mechanism ensures the accuracy of the dark area and further improves the anti-glare effect. This high-frequency real-time adjustment ensures the accuracy of the dark area and saves the precise value to the parameter configuration system to provide data support for subsequent optimization.

[0018] According to one embodiment of the present invention, the camera collects difference information between the current dark area and the target object at a frequency of 10 frames per second, and continuously updates parameters so that the position deviation between the current dark area and the target object is less than 0.5 meters to achieve an ideal precise value, and the precise value is saved in the parameter configuration system.

[0019] According to one embodiment of the present invention, during the OTA online upgrade process, the headlight parameter data is added with a 32-bit CRC check for data protection, and the headlight parameters are converted into ciphertext data through the AES encryption algorithm for transmission. After receiving the parameters, the server side of other vehicles decrypts the data and converts it into plaintext data. This dual protection mechanism ensures the security and integrity of data transmission and prevents data from being tampered with or leaked. After receiving the data, the server side of other vehicles decrypts and converts it into plaintext data to ensure the reliability and consistency of parameter updates.

[0020] Beneficial effects of the present invention: (1) The present invention realizes real-time monitoring, dynamic adjustment and remote optimization of vehicle lighting parameters through the collaborative work of multiple components such as parameter configuration platform, XCP calibration tool, vehicle lighting controller, vehicle lighting, camera and OTA online upgrade module; (2) Supporting compatibility of different types of headlights through a unified parameter configuration platform, it can automatically load and adjust the working parameters of the headlights according to the needs of different models. After loading is completed, it can automatically adjust the internal parameters through linkage with the XCP calibration tool to achieve the best headlight function; (3) Through the XCP calibration tool and camera feedback system, the parameters of the headlights can be adjusted dynamically in real time, greatly simplifying the debugging and compatibility management process of the headlights, reducing the duplication of work for the OEM and improving development efficiency; (4) It can automatically adjust the parameters of the headlights according to the actual road conditions and vehicle status to ensure that the headlights are always in the best working condition; through the camera and image processing algorithm, the system can accurately control the beam distribution and brightness of the headlights to avoid glare and improve driving safety; (5) Introducing the OTA upgrade function, after the system continuously iterates and optimizes parameters, the light parameters can be updated through online upgrades, and the security of data transmission can be ensured through encryption operations; Overall, the system significantly improves the intelligence level of car lights, driving safety and user experience, while supporting remote management and upgrades, and has broad application prospects. BRIEF DESCRIPTION OF THE DRAWINGS The present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0021] Figure 1 It is a block diagram of the system of the present invention.

[0022] Figure 2 It is a block diagram of the parameter configuration platform in the system of the present invention.

[0023] Figure 3 It is a flow chart of the system of the present invention.

[0024] Figure 4 yes Figure 3 Flowchart for initial configuration in .

[0025] Figure 5 of Figure 3 Flowchart of real-time monitoring and adjustment.

[0026] Figure 6 yes Figure 3 Flowchart of ADB function operation.

[0027] Figure 7 yes Figure 3 Flowchart of the AFS function operation.

[0028] Figure 8 yes Figure 3 Flowchart of OTA online upgrade.

[0029] Fig. 9 It is a flow chart of dynamic target object recognition and adjustment of the system of the present invention.

[0030] Fig.10 It is the image collected when the system of the present invention recognizes and adjusts the dynamic target.

[0031] Fig.11 It is an image during the adjustment process when the system of the present invention recognizes and adjusts the dynamic target.

[0032] In the figure: 1. Parameter configuration platform; 2. XCP calibration tool; 3. Headlight controller; 4. Headlight; 5. Camera; 6. OTA upgrade module. DETAILED DESCRIPTION

[0033] The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, and therefore only show the components related to the present invention.

[0034] like Figure 1 As shown, a self-closed loop lamp parameter configuration system includes a parameter configuration platform 1, an XCP calibration tool 2, a lamp controller 3, a lamp 4, a camera 5 and an OTA online upgrade module 6, wherein the parameter configuration platform 1 provides a centralized interface for setting the hardware parameters and functional parameters of the lamp 4. The XCP calibration tool 2 obtains the configuration parameters from the parameter configuration platform 1 through the XCP protocol to ensure the accuracy and real-time performance of the lamp 4 parameters, and feeds back the real-time operation data of the lamp 4 to the parameter configuration platform 1 for monitoring and optimizing the operation status of the lamp 4. The lamp controller 3 is connected to the XCP calibration tool 2 through the CAN bus, receives the configuration parameters and adjusts the operation status of the lamp 4 in real time, obtains the operation status data of the lamp 4 through the real-time data acquisition channel, and uses the preset algorithm to make dynamic adjustments to ensure that the lamp 4 can maintain the best performance under different working conditions. The lamp 4 adjusts its operation status in real time according to the instructions of the lamp controller 3. The camera 5 collects the road light type image of the headlight 4 in real time, and feeds the road light type image back to the headlight controller 3 in real time for light type analysis and adjustment. The headlight controller 3 determines whether the light type meets the preset standard through the image analysis algorithm, and automatically adjusts the headlight parameters if it does not meet the standard. The OTA online upgrade module 6 synchronizes the optimization suggestions or updated configurations of the parameter configuration platform 1 to the server side of other vehicles through the Internet of Vehicles cloud server, thereby optimizing the headlight parameters of other vehicles.

[0035] During the OTA online upgrade process, the headlight 4 parameter data is added with 32-bit CRC check for data protection. At the same time, the headlight 4 parameters are converted into ciphertext data through the AES encryption algorithm and sent. After receiving the parameters, the server side of other vehicles decrypts the data and converts it into plaintext data.

[0036] like Figure 2 As shown, the hardware parameters of the headlight 4 include brightness and current; the functional parameters of the headlight 4 include the illumination parameters of the ADB function, the light pattern distribution and motor parameters of the AFS function, and the light show function parameters. Among them, the illumination parameters of the ADB function include the illumination range, illumination angle, light pattern partition, and brightness adjustment. The light pattern distribution parameters of the AFS function include the light pattern distribution of urban roads, highways, and curve modes, and the motor parameters of the AFS function include the horizontal angle, vertical angle, and response time. The light show function parameters include dynamic lighting effects, color changes, and rhythm control.

[0037] Specifically, the hardware parameters of the headlight 4 are: brightness is 1200 lumens; current is 2.5A. Functional parameters of the headlight: ADB function is turned on; AFS function is turned on; light show function is turned off. The source type of the headlight is LED; the maximum brightness is 1500 lumens; the color temperature is 5000K. The image processing algorithm is a dark area recognition algorithm based on deep learning. The upgrade frequency of the OTA online upgrade module is once a month.

[0038] Among them, the illumination parameters of the ADB function are as follows: the illumination range is 30 meters to 150 meters (dynamically adjusted according to the vehicle speed); the illumination angle is ±15° horizontally and ±10° vertically; there are 5 light type zones (dynamically adjusted according to the position of the vehicle and pedestrians in front); and the brightness is automatically adjusted according to the ambient light intensity (ranging from 500 lumens to 1500 lumens).

[0039] The light pattern distribution and motor parameters of the AFS function are as follows: The light distribution parameters include: urban roads: wide light type, with an illumination range of 30 meters; highways: narrow light type, with an illumination range of 150 meters; curve mode: dynamically adjust the illumination angle to illuminate the curve in advance.

[0040] Motor parameters: horizontal angle is ±15° (response time: 0.5 seconds), vertical angle is ±10° (response time: 0.5 seconds).

[0041] The specific parameters of the light show function are: support for dynamic lighting effects such as flowing lights and breathing lights; support for RGB color adjustment, with adjustable color change frequency; support for synchronization with music rhythm.

[0042] like Figure 3 As shown, the specific operation process is: Initial configuration: Figure 4As shown, the calibration personnel set the hardware parameters and functional parameters of the headlight 4 through the parameter configuration platform 1; the system transmits the configuration parameters to the headlight controller 3 through the XCP calibration tool 2: Real-time monitoring and adjustment: Figure 5 As shown, the camera 5 collects images of the road ahead and the illumination area of ​​the headlight 4 in real time; the headlight controller 3 analyzes the light pattern distribution through an image processing algorithm to determine whether it meets the preset standard; if the light pattern does not meet the standard, the controller automatically adjusts the parameters of the headlight 4 (such as brightness, illumination angle, etc.); ADB function run: like Figure 6 As shown, when camera 5 detects the vehicle ahead, the system automatically adjusts the brightness of the corresponding partition to form a dark area to avoid glare; if the deviation between the dark area and the target object is greater than 0.5 meters, the system automatically adjusts the position and size of the dark area; AFS function operation: like Figure 7 As shown, when the vehicle enters a curve, the system automatically adjusts the illumination angle of the headlight 4 to illuminate the curve in advance; when the vehicle enters a highway, the system switches to a narrow beam mode to increase the illumination distance; OTA online upgrade: like Figure 8 As shown in the figure, the Internet of Vehicles cloud server pushes the latest optimized configuration of vehicle light parameters. The system receives and decrypts the data through 32-bit CRC checksum and AES encryption algorithm to update the vehicle light parameters.

[0043] like Fig. 9 As shown, dynamic target recognition and adjustment are as follows: The camera 5 is installed on the vehicle, and takes real-time photos of the road ahead and the illumination area of ​​the headlight 4, and transmits these image data to the headlight controller 3, and analyzes the illumination range, light pattern distribution and brightness of the light beam through the image processing algorithm; The camera 5 also collects the position information of the target object in front and its relative speed, and transmits it to the headlight controller 3. According to the position and speed of the target object, the brightness of the corresponding LED in the headlight 4 is adjusted to form a dark area at the position of the target object; The camera 5 collects image data of the target object and the dark area, and calculates the deviation between the dark area and the target object through the image recognition algorithm. If the deviation is large, the parameter configuration system 1 automatically adjusts the position, size and brightness parameters of the dark area, and updates the relevant parameters in the headlight controller 3 through the XCP protocol; Camera 5 collects the difference information between the current dark area and the target object at a frequency of 10 frames per second, and continuously updates the parameters so that the position deviation between the current dark area and the target object is less than 0.5 meters to achieve the ideal precise value, which is saved in the parameter configuration system.

[0044] Through the coordinated work of the camera 5, the image processing algorithm and the headlight controller 3, the recognition of dynamic targets, the accurate formation and adjustment of dark areas, and the continuous optimization of system parameters are realized. As a result, the system can perceive the dynamic changes of the target ahead in real time and provide accurate data support for the subsequent lighting adjustment. The light intensity in the area where the target ahead is located is significantly reduced, avoiding visual interference to the driver or pedestrians. The formation of the dark area is dynamic and can be adjusted in real time as the target moves; it ensures that the dark area always accurately covers the target to avoid glare or insufficient lighting due to excessive deviation; the coverage accuracy of the dark area is high to ensure driving safety and comfort. The system has self-correction capabilities and can optimize the coverage effect of the dark area in real time. The system has a fast response speed and can adapt to scenes of high-speed driving or fast-moving targets. The system has learning capabilities and can optimize parameter configuration based on historical data. After long-term use, the system's dark area adjustment accuracy and response speed will be further improved. The system can be updated and optimized remotely without manual intervention, which can improve the maintainability and scalability of the system.

[0045] Taking ADB parameter configuration as an example, ADB parameter calibration involves dynamic and real-time calibration of the entire vehicle. Since the status information of the vehicle and the target is in a state of constant change during the calibration process, it is impossible to achieve the ideal value by manual calibration of the parameters. The parameter configuration system based on the self-closed loop can adjust the parameters in real time to complete the closed loop. Specifically, there are the following steps: like Fig.10 As shown, during driving, the camera 5 recognizes that there is a car 100m ahead, and it is traveling in the same direction as the car, with a relative speed of 100km / h. The left edge of the car ahead is -15 degrees relative to the camera angle, the right edge of the target is -13 degrees relative to the camera angle, and the actual car width is 2.5m; the car light controller 3 adjusts the brightness of the corresponding LED to form a dark area at the location of the car ahead, and the size of the dark area formed is about 4m; the camera 5 collects image data of the car ahead and the dark area formed, and finds out whether the dark area is too large or too small through the image recognition algorithm; when it is found that there is a large deviation between the projected dark area and the size of the car ahead, specifically, the car ahead is 2.5m wide, but the projected dark area is about 4m, which is 1.5m different from the actual dark area, then the parameter configuration system 1 automatically adjusts the position, size and brightness parameters of the dark area, as shown in the following table;

[0046] After the parameter configuration system has modified the parameters, it will update the relevant ADB parameters in the headlight controller 3 in real time through the XCP protocol. At this position angle, the left lamp beads that are extinguished are 5, 6, 7, and 8, and the right lamp beads that are extinguished are 4, 5, 6, and 7. After trimming, the dark area generated is 3.7m. Fig.11The difference information between the current dark area and the target object is collected at a frequency of 10 frames per second, and the parameters are continuously updated so that the position deviation between the current dark area and the target object is less than 0.5 meters to achieve the ideal precision value, which is 2.5 meters. At this time, the value will be solidified and saved in the parameter configuration system 1.

[0047] Based on the above ideal embodiments of the present invention, the relevant staff can make various changes and modifications without departing from the technical concept of the present invention through the above description. The technical scope of the present invention is not limited to the contents of the specification, and its technical scope must be determined according to the scope of the claims.

Claims

1. A self-closed-loop vehicle light parameter configuration system, characterized in that: include: Parameter configuration platform, used to set the hardware parameters and functional parameters of the headlights; XCP calibration tool, which obtains configuration parameters from the parameter configuration platform through the XCP protocol and feeds back the real-time operation data of the headlights to the parameter configuration platform; The headlight controller is connected to the XCP calibration tool through the CAN bus, and obtains the operating status data of the headlight through the real-time data acquisition channel, and adjusts the control parameters in real time according to the preset algorithm; The headlights, whose operating status is adjusted by the headlight controller according to real-time data; The camera collects the road light pattern image of the headlight and feeds it back to the headlight controller in real time. The headlight controller uses the image analysis algorithm to determine whether the light pattern meets the preset standard. If not, it automatically adjusts the headlight parameters. The OTA online upgrade module synchronizes the optimization suggestions or updated configurations of the parameter configuration platform to the server side of other vehicles through the Internet of Vehicles cloud server, thereby optimizing the lighting parameters of other vehicles.

2. The self-closed-loop vehicle light parameter configuration system according to claim 1, characterized in that: The hardware parameters of the headlights include brightness and current; the functional parameters of the headlights include illumination parameters of the ADB function, light pattern distribution and motor parameters of the AFS function, and light show function parameters.

3. The self-closed-loop vehicle light parameter configuration system according to claim 2, characterized in that: The illumination parameters of the ADB function include illumination range, illumination angle, light type partitioning and brightness adjustment.

4. The self-closed-loop vehicle light parameter configuration system according to claim 2, characterized in that: The light pattern distribution parameters of the AFS function include light pattern distribution of urban roads, highways, and curved road modes, and the motor parameters of the AFS function include horizontal angle, vertical angle, and response time.

5. The self-closed-loop vehicle light parameter configuration system according to claim 2, characterized in that: The light show function parameters include lighting dynamic effects, color changes and rhythm control.

6. The self-closed-loop vehicle light parameter configuration system according to claim 1, characterized in that: The camera is installed on the vehicle to capture the road ahead and the illumination area of ​​the headlights in real time, and transmits the image data to the headlight controller, and analyzes the illumination range, light pattern distribution and brightness of the light beam through an image processing algorithm.

7. The self-closed-loop vehicle light parameter configuration system according to claim 6, characterized in that: The camera also collects the position information of the target object in front and its relative speed, and transmits it to the headlight controller to adjust the brightness of the corresponding LED in the headlight according to the position and speed of the target object, so that a dark area is formed at the location of the target object.

8. The self-closed-loop vehicle light parameter configuration system according to claim 7, characterized in that: The camera collects image data of the target object and the dark area, and calculates the deviation between the dark area and the target object through an image recognition algorithm. If the deviation is large, the parameter configuration system automatically adjusts the position, size and brightness parameters of the dark area, and updates the relevant parameters in the headlight controller through the XCP protocol.

9. The self-closed-loop vehicle light parameter configuration system according to claim 8, characterized in that: The camera collects the difference information between the current dark area and the target object at a frequency of 10 frames per second, and continuously updates the parameters so that the position deviation between the current dark area and the target object is less than 0.5 meters to achieve the ideal precise value, which is saved in the parameter configuration system.

10. The self-closed-loop vehicle light parameter configuration system according to claim 1, characterized in that: During the OTA online upgrade process, the headlight parameter data is added with a 32-bit CRC check for data protection. At the same time, the headlight parameters are converted into ciphertext data through the AES encryption algorithm and sent. After receiving the parameters, the server side of other vehicles decrypts the data and converts it into plaintext data.

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