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Proceedings Paper

Geometric projection filter: an efficient solution to the SLAM problem
Author(s): Paul M. Newman; Hugh F. Durrant-Whyte
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Paper Abstract

This paper is concerned with the simultaneous localization and map building (SLAM) problem. The SLAM problem asks if it is possible for an autonomous vehicle to start in an unknown location in an unknown environment and then to incrementally build a map of this environment while simultaneously using this map to compute absolute vehicle location. Conventional approaches to this problem are plagued with a prohibitively large increase in computation with the size of the environment. This paper offers a new solution to the SLAM problem that is both consistent and computationally feasible. The proposed algorithm builds a map expressing the relationships between landmarks which is then transformed into landmark locations. Experimental results are presented employing the new algorithm on a subsea vehicle using a scanning sonar sensor.

Paper Details

Date Published: 4 October 2001
PDF: 12 pages
Proc. SPIE 4571, Sensor Fusion and Decentralized Control in Robotic Systems IV, (4 October 2001); doi: 10.1117/12.444166
Show Author Affiliations
Paul M. Newman, Univ. of Sydney (United States)
Hugh F. Durrant-Whyte, Univ. of Sydney (Australia)

Published in SPIE Proceedings Vol. 4571:
Sensor Fusion and Decentralized Control in Robotic Systems IV
Gerard T. McKee; Paul S. Schenker, Editor(s)

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