ACO for a new TSP in region coverage

An unmanned reconnaissance aerial vehicle mounted sensor of footprint with a small area /spl omega//sub s//sup 2/ is used to cover critical airbase structures for damage assessment. The region of coverage interest is modeled with a closed union of a minimal set of interior disjoint rectangles of wid...

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Hauptverfasser: Agarwal, A., Meng-Hiot Lim, Meng-Joo Er, Chan Yee Chew
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creator Agarwal, A.
Meng-Hiot Lim
Meng-Joo Er
Chan Yee Chew
description An unmanned reconnaissance aerial vehicle mounted sensor of footprint with a small area /spl omega//sub s//sup 2/ is used to cover critical airbase structures for damage assessment. The region of coverage interest is modeled with a closed union of a minimal set of interior disjoint rectangles of width /spl omega//sub i/ = /spl omega//sub s/. We wish to find a minimum-length flight path for complete coverage for the nonholonomic vehicle. We prove that our minimization problem is a traveling salesman problem (TSP) that is symmetric, non-Euclidean and satisfies the triangular inequality. We compare our modeling primitive with two simple primitives commonly used for representing coverage regions. An ant colony optimization heuristic for solving the TSP is presented.
doi_str_mv 10.1109/IROS.2005.1545460
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subjects Ant colony optimization
Costs
Erbium
Modeling region of coverage
Motion planning
Orbital robotics
Reconnaissance
region coverage TSP
Solid modeling
Strips
Traveling salesman problems
Unmanned aerial vehicles
title ACO for a new TSP in region coverage
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