14 February 1992 Hough-based recognition of complex 3-D road scenes
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Proceedings Volume 1613, Mobile Robots VI; (1992) https://doi.org/10.1117/12.135188
Event: Robotics '91, 1991, Boston, MA, United States
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.
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Gian Luca Foresti, Gian Luca Foresti, Carlo S. Regazzoni, Carlo S. Regazzoni, } "Hough-based recognition of complex 3-D road scenes", Proc. SPIE 1613, Mobile Robots VI, (14 February 1992); doi: 10.1117/12.135188; https://doi.org/10.1117/12.135188
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