The Research Of Lane Detection In Lane Departure Warning System Application

The Distraction of your mind which led to lane departure is one of the common causes of traffic accidents. Lane departure warning systems can detect the location of vehicles Real-timely, where if the vehicle deviated from the lane and does not open the corresponding indicator, the system will warning drivers by light, sound, vibration and other forms of warning. As the complexity of road conditions and the process of car running demands the system has high real-time, how to adjust the system robustness, and practicality in order to put lane departure warning system into practical application to be the focus of the research.In the car safe driving system, accurate to obtain road information which is the path marking of the lane is the premise and foundation of accurate warning. In this thesis, the basic concepts and theories of lane detection technology was discussed.And analyzed some classics lane detection algorithm which has been studied abroad and home, and According to noise reduction of LMedSquare curve fitting, proposed that LMedSquare select the best set of seed points, and discussed the solutions of lane line detection algorithm in different road condition. In the favorable road condition, which caused the seed points are sufficient, design a options by which selected seed point of the best subset; when lane information is not clear which caused by barrier, oil pollution, in accordance with continuity and relativity successive the between image frames, we can full use of multi-frame line parameters which has been detected to predicted current lane parameters using Kalman filter, and than find the parameter which caused the risk function obtain the minimum value as the current lane parameters. This lane detection algorithm can detect lane parameter effective when lane has been disturbed.The research and test shows that the testing lane algorithm based on LMedSquare select the best set of seed points has good effect, and can be applied to the actual project of embedded system visual display traffic safety system, to distill the lane parameters of traffic safety system accurately in real time.