Translator Disclaimer
26 November 2001 Evidential reasoning tracker: further steps toward a unified theory of sensor fusion
Author Affiliations +
Abstract
The discipline of Sensor and Data Fusion in increasingly characterized by a set of disparate tools and principles. An initial consideration of these principles belies any theoretical coherence or commonality. Yet secondary inspection may begin to reveal a fundamental basis that ties together these algorithms. This paper represents the second in a multi-part discussion that attempts to explore this common basis. In particular, while our first discussion centered around the use of a traditional state estimation technique (Kalman Filtering) to perform decision-level identify fusion, in the paper we take the opposite approach, using a traditional decision-level ID technique (Dempster-Shafer Calculus) to do state estimation.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Arijit Mahalanabis, Robert N. Lobbia, and Quan Bach Nguyen "Evidential reasoning tracker: further steps toward a unified theory of sensor fusion", Proc. SPIE 4473, Signal and Data Processing of Small Targets 2001, (26 November 2001); doi: 10.1117/12.492811; https://doi.org/10.1117/12.492811
PROCEEDINGS
15 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Robust exterior autonomous navigation
Proceedings of SPIE (January 31 1994)
Feedback in track fusion without process noise
Proceedings of SPIE (August 31 1995)
Distributed Filtering With Random Sampling And Delay
Proceedings of SPIE (August 08 1988)
Comparison of vision and conventional wavelet filters
Proceedings of SPIE (April 02 1997)

Back to Top