20 August 1993 Improving robot's indoor navigation capabilities by integrating visual, sonar, and odometric measurements
Author Affiliations +
Proceedings Volume 2059, Sensor Fusion VI; (1993) https://doi.org/10.1117/12.150258
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tarcisio Coianiz, Tarcisio Coianiz, Marco Aste, Marco Aste, } "Improving robot's indoor navigation capabilities by integrating visual, sonar, and odometric measurements", Proc. SPIE 2059, Sensor Fusion VI, (20 August 1993); doi: 10.1117/12.150258; https://doi.org/10.1117/12.150258
PROCEEDINGS
11 PAGES


SHARE
Back to Top