Share Email Print

Proceedings Paper

Sensor fusion in a dynamic environment
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

The recent trend towards dynamic vision has led to the need for real-time performance in various vision and control algorithms. Some of the burden placed on algorithms using purely visual input can be lessened using multiple disparate sensors. Research into the integration of information from disparate sensors while moving through an environment has for the main part concentrated on static environments. Moving obstacles complicate tasks such as avoidance and path planning. In this paper we present a system which integrates range and visual sensory inputs for the dynamic analysis of motion within the field of view of an autonomous platform. The approach we follow combines some recently developed neural network motion analysis algorithms with an epipolar plane image technique. We report the results of some experiments on a synthesized visible/range sequence.

Paper Details

Date Published: 1 November 1992
PDF: 8 pages
Proc. SPIE 1828, Sensor Fusion V, (1 November 1992); doi: 10.1117/12.131649
Show Author Affiliations
Terrance L. Huntsberger, Univ. of South Carolina (United States)

Published in SPIE Proceedings Vol. 1828:
Sensor Fusion V
Paul S. Schenker, Editor(s)

© SPIE. Terms of Use
Back to Top