IEEE Trans Image Process - General road detection from a single image.

Tópicos

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Resumo

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 upon the detected vanishing point. The main technical contributions of the proposed approach are a novel adaptive soft voting scheme based upon 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.

Resumo Limpo

given singl imag arbitrari road may wellpav clear delin edg priori known color textur distribut possibl comput find road paper address question decompos road detect process two step estim vanish point associ main straight part road follow segment correspond road area base upon detect vanish point main technic contribut propos approach novel adapt soft vote scheme base upon local vote region use highconfid voter whose textur orient comput use gabor filter new vanishingpointconstrain edg detect techniqu detect road boundari propos method implement experi general road imag demonstr effect detect road region challeng condit

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