A parallel algorithm for flight route planning on gpu using cuda

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2010
Sancı, Seçkin
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Aerial surveillance missions require a geographical region known as the area of interest to be inspected. The route that the aerial reconnaissance vehicle will follow is known as the flight route. Flight route planning operation has to be done before the actual mission is executed. A flight route may consist of hundreds of pre-defined geographical positions called waypoints. The optimal flight route planning manages to find a tour passing through all of the waypoints by covering the minimum possible distance. Due to the combinatorial nature of the problem it is impractical to devise a solution using brute force approaches. This study presents a strategy to find a cost effective and near-optimal solution to the flight route planning problem. The proposed approach is implemented on GPU using CUDA.
Computer enginnering.
http://etd.lib.metu.edu.tr/upload/12611792/index.pdf
https://hdl.handle.net/11511/19510
Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats
S. Sancı, “A parallel algorithm for flight route planning on gpu using cuda,” M.S. - Master of Science, Middle East Technical University, 2010.
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