Title :
Obstacle detection for high speed autonomous navigation
Author :
Singh, Sanjiv ; Keller, Paul
Author_Institution :
Carnegie Mellon Univ., Pittsburgh, PA, USA
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;
Conference_Titel :
Robotics and Automation, 1991. Proceedings., 1991 IEEE International Conference on
Conference_Location :
Sacramento, CA
Print_ISBN :
0-8186-2163-X
DOI :
10.1109/ROBOT.1991.132057