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Proceedings Paper

Autonomous search for mines
Author(s): Erol Gelenbe; Yonghuan Cao
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Paper Abstract

Research on demining includes many different aspects, and in particular the design of efficient and intelligent strategies for (1) determining regions of interest using a variety of sensors, (2) detecting and classifying mines, and (3) searching for mines by autonomous agents. This paper discusses strategies for directing autonomous search based on spatio-temporal distributions. We discuss a model for search assuming that the environment is static, except for the effect of identifying mine locations. Algorithms are designed and compared for autonomously directing a robot, in the case where a single search engine carrying a single sensor.

Paper Details

Date Published: 22 July 1997
PDF: 13 pages
Proc. SPIE 3079, Detection and Remediation Technologies for Mines and Minelike Targets II, (22 July 1997); doi: 10.1117/12.280898
Show Author Affiliations
Erol Gelenbe, Duke Univ. (United States)
Yonghuan Cao, Duke Univ. (United States)


Published in SPIE Proceedings Vol. 3079:
Detection and Remediation Technologies for Mines and Minelike Targets II
Abinash C. Dubey; Robert L. Barnard, Editor(s)

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