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Fast and robust tracking of multiple moving objects with a laser range finder

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3 Author(s)
Kluge, B. ; Res. Inst. for Appl. Knowledge Process., Ulm Univ., Germany ; Kohler, C. ; Prassler, E.

In this paper we focus on the task of tracking multiple moving objects in rapidly changing, dynamic environments. Objects are extracted from laser range finder images and correspondences between successive images are established by network optimization techniques. The approach is implemented on a robotic wheelchair, used in two applications and evaluated experimentally.

Published in:

Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International Conference on  (Volume:2 )

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