Obstacle Detection, Tracking And State Estimation For Autonomous Road Vehicle Guidance

Abstract

An integrated spatio-temporal approach to real-time monocular vision in combination with a &dimensional fast symmetry analysis is presented for obstacle recognition and relative state estimation. This module is one pard of Q system for autonomous vehicle guidance. Obstacles i.e other vehicles are detected and tracked up to a distance of 100 meters. The system is able to handle multiple objects. The number is limited by hardware resources.