JRM Vol.14 No.2 pp. 147-156
doi: 10.20965/jrm.2002.p0147


Recognizing Moving Obstacles for Robot Navigation using Real-time Omnidirectional Stereo Vision

Hiroshi Koyasu, Jun Miura, and Yoshiaki Shirai

Dept. of Computer-Controlled Mechanical Systems, Osaka University, 2-1, Yamadaoka, Suita, Osaka 565-0871, Japan

November 19, 2001
December 15, 2001
April 20, 2002
real-time omnidirectional stereo, mobile robot, moving obstacle recognition, ego-motion estimation
We describe a method to recognize moving obstacles in a wide view and in real time required when a mobile robot moves in a dynamic environment. Our method uses an omnidirectional stereo vision composed of a pair of vertically-aligned omnidirectional cameras and a PC cluster to obtain panoramic range information of 360 degrees in real time. From this range information, the robot on-line generates a free space map of the surrounding environment, and extracts objects in free space as candidates for moving obstacles. The robot makes time correspondence of candidates and estimates their position and velocity using the Kalman filter. To reduce the effect of odometry error to map generation, egomotion is estimated by comparing current and previous range data. We demonstrate the effectiveness of our method by on-line experiments.
Cite this article as:
H. Koyasu, J. Miura, and Y. Shirai, “Recognizing Moving Obstacles for Robot Navigation using Real-time Omnidirectional Stereo Vision,” J. Robot. Mechatron., Vol.14 No.2, pp. 147-156, 2002.
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