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Proceedings Paper

Collision avoidance tests using the Charlie_1 Trike vehicle
Author(s): Charles R. Allen; R. West
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Paper Abstract

Autonomous vehicles for advanced robotics applications require accurate world modeling using sensors and built in algorithms to undertake collision avoidance around obstacles. This paper describes the physical attributes of a prototype mobile vehicle using synchronized dc motor drives, and a number of methods for the on-line planning of obstacle avoidance. Measurements of the efficiency of the paths described using each collision avoidance method are quantified using a number of metrics discussed in the paper.

Paper Details

Date Published: 1 November 1992
PDF: 12 pages
Proc. SPIE 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision, (1 November 1992); doi: 10.1117/12.131561
Show Author Affiliations
Charles R. Allen, Univ. of Newcastle upon Tyne (United Kingdom)
R. West, Univ. of Teesside (United Kingdom)


Published in SPIE Proceedings Vol. 1825:
Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision
David P. Casasent, Editor(s)

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