Research on lane departure decision warning methods based on machine vision

Abstract

To improve the driving safety of drivers, an effective lane detection algorithm was proposed upon the research on lane departure decision warning system based on machine vision. Firstly, the lane images were preprocessed to adapt to various lighting conditions and improve the efficiency of the lane detection. Then, by means of hough transform, actual lane line features were extracted according to the different image lane line features. Finally, after the study of different lane departure models based on lane line detection, this article put forward a lane departure decision algorithm. Experimental results demonstrate that the developed system exhibits good detection performances in recognition reliability and warning decision. It has proved that this system has high accuracy, large detection range and high practicability.