22 July 1997 Autonomous search for mines
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Proceedings Volume 3079, Detection and Remediation Technologies for Mines and Minelike Targets II; (1997); doi: 10.1117/12.280898
Event: AeroSense '97, 1997, Orlando, FL, United States
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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Erol Gelenbe, Yonghuan Cao, "Autonomous search for mines", Proc. SPIE 3079, Detection and Remediation Technologies for Mines and Minelike Targets II, (22 July 1997); doi: 10.1117/12.280898; https://doi.org/10.1117/12.280898
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KEYWORDS
Mining

Land mines

Sensors

Genetic algorithms

Stochastic processes

Computer simulations

Environmental sensing

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