Preceding Vehicle Detection and Ranging Based on Monocular Vision
摘要
Aiming at the problem of anti-collision for intelligent vehicle control,a vehicle detection and ranging method based on monocular vision is presented.Multiscale Block-Local Binary Pattern(MB-LBP) and Adaboost are used to extract vehicle candidate area,the horizontal edge and gray features are used to eliminate false detection,the problem of the interference of road and green belts is solved effectively.The improved shadow location method is used to gain exact position of the vehicle,the accuracy of distance measurement is improved.A camera model based on position information is built to measure the vehicle distance ahead.Experimental results show that the average detection rate of preceding vehicles is 98.42% and the average error of vehicle ranging is 0.71 m.