Design And Implementation Of Forward Collision Warning System Based On Monocular Camera

With the rapid development of my country’s economy,vehicles have become a common means of transportation for every household.The expressway is more convenient for people to travel remotely.The safety of vehicles and the occurrence of traffic accidents have become the focus.Vehicle collision early warning technology analyses the front view and make judgments on current road conditions,and alert a driver about possible collision.Therefore,the study of the forward collision warning system can reduce traffic accidents and improve the alertness of drivers.At present,most researchers combine lane departure and collision time prediction.The forward collision warning system based on monocular vision must use the combination of frontvehicle detection and lane detection technology,which requires high real-time performance.The forward collision warning system designed in this paper mainly includes four parts: frontvehicle detection,lane detection,the prediction of time to collision and the judgment of lane departure.Among them,this article is mainly optimized for real-time performance,reducing the cost of vehicle detection and lane detection without the rapid decrease in accuracy.The main work of this thesis includes: 1.Based on the EDLines detection,a method to detect the Region of Interest is proposed to improve the real-time performance of the detection of vehicle in this thesis,and the method is tested on PC.2.A lightweight detection method for the left and right lanes is proposed in this thesis.Line segments are detected based on the EDLines detection,Then line segments are used to estimate the vanishing points and merged to smooth long lines after vanishing points filtering.The left and right lanes are selected in these lines.They are tested on the PC.3.The forward collision warning system is tested on the iOS platform.