Robust Ground Plane Detection with Normalized Homography in Monocular Sequences from a Robot Platform

Abstract

We present a homography-based approach to detect the ground plane from monocular sequences captured by a robot platform. By assuming that the camera is fixed on the robot platform and can at most rotate horizontally, we derive the constraints that the homograph of the ground plane must satisfy and then use these constraints to design algorithms for detecting the ground plane. Due to the reduced degree of freedom, the resultant algorithm is not only more efficient and robust, but also able to avoid false detection due to virtual planes. We present experiments with real data from a robot platform to validate the proposed approaches.