
Proceedings Paper
Virtual force field based obstacle avoidance and agent based intelligent mobile robotFormat | Member Price | Non-Member Price |
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Paper Abstract
This paper presents a modified virtual force based obstacle avoidance approach suited for laser range
finder. The modified method takes advantage of the polar coordinate based data sent by the laser sensor by
mapping the environment in a polar coordinate system. The method also utilizes a Gaussian function based
certainty values to detect obstacle. The method successfully navigates through complex obstacles and
reaches target GPS waypoints.
Paper Details
Date Published: 10 September 2007
PDF: 12 pages
Proc. SPIE 6764, Intelligent Robots and Computer Vision XXV: Algorithms, Techniques, and Active Vision, 67640R (10 September 2007); doi: 10.1117/12.734691
Published in SPIE Proceedings Vol. 6764:
Intelligent Robots and Computer Vision XXV: Algorithms, Techniques, and Active Vision
David P. Casasent; Ernest L. Hall; Juha Röning, Editor(s)
PDF: 12 pages
Proc. SPIE 6764, Intelligent Robots and Computer Vision XXV: Algorithms, Techniques, and Active Vision, 67640R (10 September 2007); doi: 10.1117/12.734691
Show Author Affiliations
Saurabh Sarkar, Univ. of Cincinnati (United States)
Scott Reynolds, Univ. of Cincinnati (United States)
Scott Reynolds, Univ. of Cincinnati (United States)
Ernest Hall, Univ. of Cincinnati (United States)
Published in SPIE Proceedings Vol. 6764:
Intelligent Robots and Computer Vision XXV: Algorithms, Techniques, and Active Vision
David P. Casasent; Ernest L. Hall; Juha Röning, Editor(s)
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