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Real-time regular polygonal sign detection
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
2006 (English)Conference paper (Refereed)
Abstract [en]

In this paper, we present a new adaptation of the regular polygon detection algorithm for real-time road sign detection for autonomous vehicles. The method is robust to partial occlusion and fading, and insensitive to lighting conditions. We experimentally demonstrate its application to the detection of various signs, particularly evaluating it on a sequence of roundabout signs taken from the ANU/NICTA vehicle. The algorithm runs faster than 20 frames per second on a standard PC, detecting signs of the size that appears in road scenes, as observed from a camera mounted on the rear-vision mirror. The algorithm uses the symmetric nature of regular polygonal shapes, we also use the constrained appearance of such shapes in the road scene to the car in order to facilitate their fast, robust detection.

Place, publisher, year, edition, pages
2006. 55-66 p.
, Springer Tracts in Advanced Robotics, ISSN 16107438
National Category
URN: urn:nbn:se:kth:diva-155994DOI: 10.1007/11736592_6ISI: 000241438000006ScopusID: 2-s2.0-33748883650ISBN: 3540334521ISBN: 9783540334521OAI: diva2:765799
5th International Conference on Field and Service Robotics, Port Douglas, AUSTRALIA, JUL 29-31, 2005

QC 20141125

Available from: 2014-11-25 Created: 2014-11-17 Last updated: 2014-11-25Bibliographically approved

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Loy, Gareth
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Computer Vision and Active Perception, CVAP

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