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Proceedings Paper

Object detection with single-camera stereo
Author(s): J. McBride; M. Snorrason; R. Eaton; N. Checka; A. Reiter; G. Foil; M. R. Stevens
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Paper Abstract

Many fielded mobile robot systems have demonstrated the importance of directly estimating the 3D shape of objects in the robot's vicinity. The most mature solutions available today use active laser scanning or stereo camera pairs, but both approaches require specialized and expensive sensors. In prior publications, we have demonstrated the generation of stereo images from a single very low-cost camera using structure from motion (SFM) techniques. In this paper we demonstrate the practical usage of single-camera stereo in real-world mobile robot applications. Stereo imagery tends to produce incomplete 3D shape reconstructions of man-made objects because of smooth/glary regions that defeat stereo matching algorithms. We demonstrate robust object detection despite such incompleteness through matching of simple parameterized geometric models. Results are presented where parked cars are detected, and then recognized via license plate recognition, all in real time by a robot traveling through a parking lot.

Paper Details

Date Published: 4 May 2006
PDF: 12 pages
Proc. SPIE 6230, Unmanned Systems Technology VIII, 623002 (4 May 2006); doi: 10.1117/12.669024
Show Author Affiliations
J. McBride, Charles River Analytics (United States)
M. Snorrason, Charles River Analytics (United States)
R. Eaton, Charles River Analytics (United States)
N. Checka, Charles River Analytics (United States)
A. Reiter, Charles River Analytics (United States)
G. Foil, Charles River Analytics (United States)
M. R. Stevens, Charles River Analytics (United States)

Published in SPIE Proceedings Vol. 6230:
Unmanned Systems Technology VIII
Grant R. Gerhart; Charles M. Shoemaker; Douglas W. Gage, Editor(s)

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