Share Email Print
cover

Proceedings Paper

Improving robot's indoor navigation capabilities by integrating visual, sonar, and odometric measurements
Author(s): Tarcisio Coianiz; Marco Aste
Format Member Price Non-Member Price
PDF $14.40 $18.00
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 the framework of autonomous navigation, an application of Kalman filtering to the problem of multi-sensor information processing is presented. In particular, estimation of model parameters is considered when a mobile robot equipped with a set of sonars and a standard TV camera moves along corridors, and the environment is affected by sharp discontinuities due to the presence of recesses or protrusions. Experiments performed in real-world situations are also presented and discussed.

Paper Details

Date Published: 20 August 1993
PDF: 11 pages
Proc. SPIE 2059, Sensor Fusion VI, (20 August 1993); doi: 10.1117/12.150258
Show Author Affiliations
Tarcisio Coianiz, Istituto la Ricerca Scientifica e Tecnologica (Italy)
Marco Aste, Istituto la Ricerca Scientifica e Tecnologica (Italy)


Published in SPIE Proceedings Vol. 2059:
Sensor Fusion VI
Paul S. Schenker, Editor(s)

© SPIE. Terms of Use
Back to Top