Title | ||
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On the covering of a polygonal region with fixed size rectangles with an application towards aerial inspection. |
Abstract | ||
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Unmanned Aerial Vehicles (UAVs) equipped with remote visual sensing can be used in wide range of applications. However, guaranteeing the full coverage of the area and translating this coverage in a path planning problem, it is a quite challenging task. Thus, in this article a well-known and wellinvestigated family of hard optimization problems, covering a polygonal region (target area) with fixed size rectangles (camera frustrum), is studied. The problem is formulated mathematically and solved using metaheuristic optimization algorithms. The proposed novel algorithmic scheme requires an a priori 2D model of the target area, while it tries to maximize the coverage with a minimum number of fixed size rectangles. Finally, multiple simulation results are presented that prove the efficacy of the proposed scheme. |
Year | DOI | Venue |
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2017 | 10.1109/MED.2017.7984284 | Mediterranean Conference on Control and Automation |
Field | DocType | ISSN |
Motion planning,Particle swarm optimization,Mathematical optimization,Polygon,Computer science,Metaheuristic optimization,A priori and a posteriori,Frustum,Optimization problem,Genetic algorithm | Conference | 2325-369X |
Citations | PageRank | References |
1 | 0.36 | 7 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sina Sharif Mansouri | 1 | 11 | 9.46 |
George K. Georgoulas | 2 | 24 | 6.60 |
Thomas Gustafsson | 3 | 20 | 8.43 |
George Nikolakopoulos | 4 | 144 | 42.44 |