The Improved Algorithm For Lane Detection In Vision Navigation System

Modern management methods are needed to administer traffic on account of the economical development and the speedup of urbanization and motorization, which begets the research on Intelligent Transportation System-ITS.Vision Navigation System is important issues with applications to Intelligent Transportation System(ITS). Owing to its intrinsic Pre-Accident Warning mechanism, Driver Assistance System has bright prospects,especially in high quality active automobile safety and accident avoidance measurement. The Vision Navigation System that employs Computer Vision technology is one of the booming research fields, due to their extensive signal detection range, integrity and excellent "Quality-Cost" ratio. The main work and contribution of the dissertation are as follows:Firstly, the current status of internal and world about Vision Navigation System is introduced, and explained the background and meaning of this paper.Then, an edge-based shadow detection algorithm is studied and it can provide better condition for rear image process by remove shadow. And then set up function which can enhance the quality of low-contrast gray images and also can provide better condition for rear image process.Last, after summarizing the current road detection algorithms, an edge-based road detection algorithm is studied, and a Hough-based line detection algorithm is improved, then a roadway-lines detection algorithm is designed and implemented.Experiments show that this method could get a satisfactory result and is useful for the fusion of other road detection algorithms in LDWS.