Research And Implementation Of ADB Headlamp Control System

Traffic accidents occur frequently at night due to the problem of light,which makes the technology of automobile headlamp become an important topic to solve the problem of traffic safety at night.In order to solve the problem of high beam glare at night,adaptive headlamp technology is developed.At present,the most perfect adaptive headlamp is based on adaptive driving beam – ADB technology.According to the camera,the position of the vehicle in front is recognized and the high beam type is changed by the control system of the ADB headlamp.It does not dazzle the driver in front,but also does not affect the lighting of other areas in front,which can reduce the frequency of traffic accidents at night to a certain extent.The accuracy and real-time of the control light of the ADB control system is the key part to realize the adaptive high beam function of the ADB.It needs reasonable hardware design and complete software control method to ensure the accuracy and real-time.According to the current development status of the ADB headlamp,this paper designs the control system of the ADB headlamp.In order to improve the accuracy and real-time performance of the ADB control system,the system control flow and software control algorithm are studied.The main contents of this paper are as follows:1)According to the working principle of ADB adaptive headlamp,the control principle and control requirements of the ADB system are put forward,and the overall structure of the system is designed,and the system is divided into two parts: ADB controller and LED driver.According to the control principle of ADB system,the function of each part of the circuit is designed and the component parameters of each circuit are allocated.The hardware design and debugging of the adaptive headlamp control system are completed,and the software flow of the system is designed.2)In order to meet the accuracy and real-time requirements of the control system,a software control algorithm of the control system is designed,The specific processing aspects are as follows:(a)In order to solve the problem that noise affects the accuracy of the control system caused by the noise of image processor signal caused by too many interference light sources in the night,a Kalman filter algorithm is adopted to filter the noise;(b)When the vehicle is driving at high speed,the matrix LED controller has a certain delay when it executes the command of the ADB controller relative to the time of collecting pictures,which leads to the control delay.Aiming at the problem of control lag,this paper adopts a prediction algorithm based on Autoregressive model,which can improve the real-time performance of the system by predicting the signal value after noise filtering through AR model.3)The Kalman filter noise filtering algorithm program and AR model signal prediction algorithm program are written in MATLAB to simulate and analyze the signal collected and identified by image processor,and verify the performance of the algorithm.The function test environment of the control system is built,and the basic function test of the control system is carried out to verify the function of the hardware circuit to send can message to control a single LED lamp bead through the upper computer.The joint function test of ADB control system and image processor is carried out to verify the adaptive function of headlamp.The results of simulation experiment and system function test show that the error between the predicted distance and the measured value at that time is not more than0.2m after Kalman filter and AR model prediction,and the error between the predicted angle and the predicted distance is not more than 0.05 °,When the relative speed is180 m / s,the accuracy of distance prediction can reach 92%,respectively.After the filtering and prediction processing,it can filter the signal noise of image processor,compensate the delay caused by the working cycle and signal transmission of the system,and meet the requirements of accuracy and real-time of the system.The system function test results show that the control system in this paper can control a single LED lamp independently,and can accurately change the high beam type according to the spot information of the front lights in the video in the joint test with the image processor.It can be seen that the ADB system designed in this paper has a certain application prospect,which provides a certain theoretical basis for the future development of ADB headlamp.