Proceedings Paper
Validation of vision-based obstacle detection algorithms for low-altitude helicopter flight| Format | Member Price | Non-Member Price |
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Paper Abstract
The automation of rotorcraft low-altitude flight presents challenging problems in control imaging sensors and image understanding. A critical element in this problem is the ability to detect and locate obstacles in a helicopter''s intended flight path and using on-board sensors modify the nominal vehicle trajectory to avoid contact with the detected obstacles. This paper describes the validation facility being used at Ames to test vision based obstacle detection and range estimation algorithms suitable for low level helicopter flight and presents some early validation results.
Paper Details
Date Published: 1 March 1991
PDF: 14 pages
Proc. SPIE 1388, Mobile Robots V, (1 March 1991); doi: 10.1117/12.25457
Published in SPIE Proceedings Vol. 1388:
Mobile Robots V
Wendell H. Chun; William J. Wolfe, Editor(s)
PDF: 14 pages
Proc. SPIE 1388, Mobile Robots V, (1 March 1991); doi: 10.1117/12.25457
Show Author Affiliations
Raymond E. Suorsa, NASA/Ames Research Ctr. (United States)
Banavar Sridhar, NASA/Ames Research Ctr. (United States)
Published in SPIE Proceedings Vol. 1388:
Mobile Robots V
Wendell H. Chun; William J. Wolfe, Editor(s)
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