Vehicle Detection Based on Binocular Stereovision and Edge Extraction

摘要

Traffic accident has already become a significant social problem.Intelligent Transportation Systems (ITS) is vital to improve the vehicle safety.As an important part of ITS, vehicle detection has been widespread concern.This paper presents a vehicle detection algorithm based on binocular stereovision and edge extraction: analyze spatial coordinate feature belong to object point and detect obstacle points; segment Region of Interest; apply symmetry to detect vehicle.The experimental results indicate that the algorithm possess high efficiency and accuracy.