DocumentCode :
1871532
Title :
Obstacle detection in smooth high curvature terrain
Author :
Batavia, Parag H. ; Singh, Sanjiv
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume :
3
fYear :
2002
fDate :
2002
Firstpage :
3062
Lastpage :
3067
Abstract :
Detection of obstacles for autonomous vehicles is more difficult when the terrain is not locally planar and remains an open problem. We have developed an approach suited for obstacle detection in those cases where the terrain has significant curvature but is smooth enough that the obstacles are discrete. Our system consists of a low-cost scanning laser rangefinder and a novel algorithm that can reliably detect obstacles as small as 15 cm in curving terrain. This paper presents an analysis of the effectiveness of our system and a summary of experimental results from an outdoor mobile robot
Keywords :
laser ranging; mobile robots; robot vision; autonomous vehicles; obstacle detection; outdoor mobile robot; scanning laser rangefinder; smooth high curvature terrain; Image resolution; Immune system; Laser radar; Mobile robots; Radar detection; Radar imaging; Remotely operated vehicles; Robustness; Stereo vision; Vehicle detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 2002. Proceedings. ICRA '02. IEEE International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7272-7
Type :
conf
DOI :
10.1109/ROBOT.2002.1013697
Filename :
1013697
Link To Document :
بازگشت