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Proceedings Paper

Hough-based recognition of complex 3-D road scenes
Author(s): Gian Luca Foresti; Carlo S. Regazzoni
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Paper Abstract

In this paper, we address the problem of the object recognition in a complex 3-D scene by detecting the 2-D object projection on the image-plane for an autonomous vehicle driving; in particular, the problems of road detection and obstacle avoidance in natural road scenes are investigated. A new implementation of the Hough Transform (HT), called Labeled Hough Transform (LHT), to extract and group symbolic features is here presented; the novelty of this method, in respect to the traditional approach, consists in the capability of splitting a maximum in the parameter space into noncontiguous segments, while performing voting. Results are presented on a road image containing obstacles which show the efficiency, good quality, and time performances of the algorithm.

Paper Details

Date Published: 14 February 1992
PDF: 10 pages
Proc. SPIE 1613, Mobile Robots VI, (14 February 1992); doi: 10.1117/12.135188
Show Author Affiliations
Gian Luca Foresti, Univ. of Genoa (Italy)
Carlo S. Regazzoni, Univ. of Genoa (Italy)


Published in SPIE Proceedings Vol. 1613:
Mobile Robots VI
William J. Wolfe; Wendell H. Chun, Editor(s)

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