New visual invariants for obstacle detection using optical flow induced from general motion

Abstract

To operate autonomous vehicles safely, obstacles must be detected before any path planning and obstacle avoidance activity is undertaken. In the paper, a novel approach to obstacle detection is developed. New visual linear invariants based on optical flow have been developed. Employing the linear invariance property, obstacles an be directly detected by using a reference flow line obtained from measured optical flow. This method can be used for ground vehicles to navigate through man-made roadways or natural outdoor terrain or for air vehicles to land on known or unknown terrain.<>