Research On Lane Detection Algorithm Based On Digital Image Processing

With the improvement of science and technology,intelligent automation equipment is gradually applied to all aspects of production and life in society.In developed countries,the automation and intelligence of vehicles have reached a high level,and domestic research and development of the intelligent operation of vehicles has been started.In recent years,algorithms for lane detection have emerged in an endless stream,but the advantages and disadvantages of comprehensive comparison of various algorithms have resulted in the following problems: First,the robustness of lane line detection is poor,mainly due to the surrounding environment of the road.The impact is greater,in the traffic-intensive city streets,affected by natural factors such as building shadows and other trees around the lane;second,the real-time performance of the lane line detection is poor,affected by other signs on the lane,or damaged in the lane.When the pollution is serious,the image of the lane line collected by the system is incomplete and of poor quality,which increases the difficulty of analyzing and processing data of the detection system.Aiming at the existing problems in lane line detection,this paper determines the research focus of this paper.1.Improve the accuracy and real-time performance of the pretreatment algorithm.The most of the factors influencing the lane line detection is to collect images produced before,this requires the collected lane line image preprocessing strictly,to get rid of a lot of interference information,not only can detect the result is more accurate,and can simplify the complexity of the algorithm,can satisfy the requirement of the accuracy and real-time two-way at the same time.2.Simulation with FPGA.This paper simulates the detection algorithm from two aspects of MATLAB and FPGA,studies the working mode and different interface protocols of the related chips,and optimizes the logic design by hardware design language,which is convenient for the hardware implementation of the algorithm.This method can effectively improve the speed of image processing,save logical resources,and better realize the function of lane recognition.3.Improve the existing lane line detection algorithm.The lane line detection algorithm has a lot of,but each algorithm are the advantages and disadvantages of each part.A part of this paper is to summarize the advantages and disadvantages of these detection algorithms,analyze its feasibility in practical detection,and based on this,improve the algorithm,and explore a more feasible detection algorithm.