Vanishing point detection for road detection

• Published in: 2009 IEEE Conference on Computer Vision and Pattern Recognition pp. 96 - 103
• Main Authors: Hui Kong, Audibert, Jean-Yves, Ponce, Jean
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2009
• Subjects: Adaptive optics; Image edge detection; Image segmentation; Laser radar; Optical character recognition software; Optical filters; Pixel; Remotely operated vehicles; Roads; Voting
• ISBN: 1424439922; 9781424439928
• ISSN: 1063-6919; 1063-6919
• DOI: 10.1109/CVPR.2009.5206787

Given a single image of an arbitrary road, that may not be well-paved, or have clearly delineated edges, or some a priori known color or texture distribution, is it possible for a computer to find this road? This paper addresses this question by decomposing the road detection process into two steps: the estimation of the vanishing point associated with the main (straight) part of the road, followed by the segmentation of the corresponding road area based on the detected vanishing point. The main technical contributions of the proposed approach are a novel adaptive soft voting scheme based on variable-sized voting region using confidence-weighted Gabor filters, which compute the dominant texture orientation at each pixel, and a new vanishing-point-constrained edge detection technique for detecting road boundaries. The proposed method has been implemented, and experiments with 1003 general road images demonstrate that it is both computationally efficient and effective at detecting road regions in challenging conditions.