Pose tracking using laser scanning and minimalistic environmental models.
Keeping track of the position and orientation over time using sensor data, i.e., pose tracking, is a central component in many mobile robot systems. In this paper, we present a Kalman filter-based approach utilizing a minimalistic environmental model. By continuously updating the pose, matching the...
| Published in: | IEEE Transactions on robotics and automation 17, 2 (2001). |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Subjects: |