Share Email Print

Proceedings Paper

Robot position estimation using range and compass data
Author(s): Raashid Malik; Braham Benteftifa
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In this paper, a method for mobile robot positioning using range data is investigated. A ranging sensor is used to collect range data within an environment modeled as a closed polygon, and a compass is available to provide the ranging sensor with direction. The problem of position uncertainty is defined as the existence of multiple position solutions when angle readings are noiseless. When the compass is not ideal, the problem is further complicated by now having imprecise multiple solutions. Both cases are solved by introducing a function defined as the region entropy, which provides us with the ranging angle directions that minimize the uncertainty in position estimation. A least square position estimation method is then proposed. Finally, an example is used to illustrate the technique described above.

Paper Details

Date Published: 14 February 1992
PDF: 12 pages
Proc. SPIE 1613, Mobile Robots VI, (14 February 1992); doi: 10.1117/12.135174
Show Author Affiliations
Raashid Malik, Stevens Institute of Technology (United States)
Braham Benteftifa, Stevens Institute of Technology (United States)

Published in SPIE Proceedings Vol. 1613:
Mobile Robots VI
William J. Wolfe; Wendell H. Chun, Editor(s)

© SPIE. Terms of Use
Back to Top