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General road detection from a single image

9 years 5 months ago
General road detection from a single image
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 a local voting region using high-confidence voters, whose texture orientations are computed using Gabor filters, 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 effective at detecting road regions in challenging conditions.
Hui Kong, Jean-Yves Audibert, and Jean Ponce
Added 17 Mar 2010
Updated 17 Mar 2010
Type Journal
Year 2010
Where IEEE Transactions on Image Processing
Authors Hui Kong, Jean-Yves Audibert, and Jean Ponce
 
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