TY - GEN
T1 - Development of compact and light-weight LRF based positioning sensor for mobile robot localization
AU - Kawata, Hirohiko
AU - Ohya, Akihisa
AU - Yuta, Shin'ich
PY - 2009/11/18
Y1 - 2009/11/18
N2 - In this paper, we describe our positioning system based ultra-compact Laser Range Finder (LRF) for mobile robot. The system consists of reflectors as landmark and a laser range finder (LRF) named "Pos-URG". The landmarks are randomly and sparsely placed in environment, and their position and posture are known. Pos-URG has map data which consists of pose information and relation information between each landmark, which are sorted in ascending order of distance value between each other landmarks. When the Pos-URG finds multiple number of landmarks, the set of landmarks in map which correspond the detected landmarks is searched. The searching is done using not only each landmark's position and posture but also relations between them. Then, Pos-URG's position and posture is calculated with coordinate transform from sensor coordinates to map coordinates. The most important characteristic of this proposed searching method is its low computational time and it enables the method to be implemented into low-cost and low-spec CPU which is assembled into Pos-URG.
AB - In this paper, we describe our positioning system based ultra-compact Laser Range Finder (LRF) for mobile robot. The system consists of reflectors as landmark and a laser range finder (LRF) named "Pos-URG". The landmarks are randomly and sparsely placed in environment, and their position and posture are known. Pos-URG has map data which consists of pose information and relation information between each landmark, which are sorted in ascending order of distance value between each other landmarks. When the Pos-URG finds multiple number of landmarks, the set of landmarks in map which correspond the detected landmarks is searched. The searching is done using not only each landmark's position and posture but also relations between them. Then, Pos-URG's position and posture is calculated with coordinate transform from sensor coordinates to map coordinates. The most important characteristic of this proposed searching method is its low computational time and it enables the method to be implemented into low-cost and low-spec CPU which is assembled into Pos-URG.
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M3 - Conference contribution
AN - SCOPUS:70449420070
SN - 9781424448555
T3 - 2009 International Conference on Advanced Robotics, ICAR 2009
BT - 2009 International Conference on Advanced Robotics, ICAR 2009
T2 - 2009 International Conference on Advanced Robotics, ICAR 2009
Y2 - 22 June 2009 through 26 June 2009
ER -