Research On Lane Departure Warning System Based On Machine Vision

With the rapid development of the social economy,the living standards of the people have been continuously improved,and the road transportation industry has also witnessed rapid development.Development has also brought with it many problems.Frequent traffic accidents have not only caused the smooth passage of broken roads but also caused harm to many families.Many of these situations have occurred because the driver's inattention and fatigue caused the vehicle to deviate from the safe range.Caused.The lane departure warning system based on machine vision studied in this paper can realize early warning when the vehicle deviates,and greatly reduce the incidence of traffic accident caused by vehicle deviation.The lane departure warning system is the main component of the safe driving assistance field.This paper firstly understands the status of the lane departure warning and the research situation at home and abroad,and develops a lane departure system suitable for the expressway.The system established in this paper is based on MFC interface design in VS2013 environment,using C++ language programming and development,the specific function of the lane departure warning system includes image preprocessing(image calibration area segmentation,image graying,image enhancement,smoothing filtering,edge detection,image binarization and skeleton extraction),lane line model assumptions and Hough transform using prior knowledge for lane line recognition extraction,using the angle method combined with the steering wheel angle of the vehicle to set the lane departure threshold to achieve departure warning,determine The final lane departure decision algorithm.Combine theoretical knowledge with actual road conditions,write application algorithm programs,compare various types of algorithms and renderings,select suitable algorithms for this article,and finally display them through the interface.This article uses the above-mentioned technology and theory to develop and implement a lane departure warning system.Through the lane departure test of road video images,the test results show that the system can achieve a higher accuracy of lane departure warning.