DocumentCode
3279409
Title
Obstacle detection for high speed autonomous navigation
Author
Singh, Sanjiv ; Keller, Paul
Author_Institution
Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear
1991
fDate
9-11 Apr 1991
Firstpage
2798
Abstract
Several schemes are presented for obstacle detection for autonomous vehicles traveling at high speeds (about 5 m/s). In particular, the authors discuss schemes that make a globally flat-world assumption and ignore vehicle pitch motion. They examine methods that relax the above assumptions. In each case the strengths and weaknesses of the solutions proposed are discussed. Experimental and simulation results are presented
Keywords
mobile robots; navigation; pattern recognition; planning (artificial intelligence); vehicles; autonomous navigation; autonomous vehicles; globally flat-world assumption; mobile robots; obstacle detection; path planning; pattern recognition; profile matching; scanner; Acceleration; Cyclones; Feedback; Mobile robots; Remotely operated vehicles; Robot sensing systems; Sonar navigation; Space exploration; Space vehicles; Vehicle detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 1991. Proceedings., 1991 IEEE International Conference on
Conference_Location
Sacramento, CA
Print_ISBN
0-8186-2163-X
Type
conf
DOI
10.1109/ROBOT.1991.132057
Filename
132057
Link To Document