Submitted by Hui Kong on 2009, April 29 - 13:13.1126 views | 0 comments | 13 votes
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Vanishing point detection for road detection

  • Vanishing point detection for road detection
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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.
Hui Kong, Jean-Yves Audibert, Jean Ponce
CVPR - 2009
IEEE

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Keywords computer vision | CVPR 2009 | road detection | vanishing point |
Category Computer Science | Engineering |


Added 29 Apr 2009
Updated 10 Dec 2009
Type Conference
Year 2009
Where CVPR
Authors Hui Kong (Ecole Normale Superieure), Jean-Yves Audibert (Ecole des Ponts & Ecole Normale Superieure), Jean Ponce (Ecole Normale Superieure)

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