Author(s)

Weiwei Chen, Weixing Wang, Fengping Wang

Corresponding Author

Weiwei Chen

Abstract

With the continuous improvement of society and economy in China, every family can afford a vehicle. As a result, the demand for automobiles in China is rising every year, but the traffic accidents have also increased to a very high level. Therefore, the driving safety performance has become the focus of people's attention. According to the statistics, in the traffic accidents that occurred in recent years, the lane departure accidents caused by the driver's distracted attention while driving a vehicle account for as much as 37% of all traffic accidents. Therefore, relevant departments must pay enough attention to traffic accidents caused by vehicle deviation and increase the development of lane departure warning system. Only in this way can the chance of traffic accidents be reduced. And Lane departure warning system can effectively mitigate the occurrence of vehicle deviation accident. The most widely used is the lane departure warning system based on monocular vision which includes two core algorithms: lane detection and lane departure warning. The main content of this thesis is a brief analysis of lane departure warning system based on monocular vision. It is hoped that this method can contribute to the development of lane departure warning system based on monocular vision.

Keywords

Lane departure warning system, Machine vision, bus, Area of interest, Driving process, Image processing.