| Simulation-aided path planning of UAV |
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Winter Simulation Conference
archive
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
table of contents
Washington D.C.
SESSION: Military applications: UAV simulation
table of contents
Pages: 1306-1314
Year of Publication: 2007
ISBN:1-4244-1306-0
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Authors
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Farzad Kamrani
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School of Information and Communication Technology, Stockholm, SE, Sweden
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Rassul Ayani
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School of Information and Communication Technology, Stockholm, SE, Sweden
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IEEE Press
Piscataway, NJ, USA
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Downloads (6 Weeks): 4, Downloads (12 Months): 48, Citation Count: 0
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 ABSTRACT
The problem of path planning for Unmanned Aerial Vehicles (UAV) with a tracking mission, when some a priori information about the targets and the environment is available can in some cases be addressed using simulation. Sequential Monte Carlo Simulation can be used to assess the state of the system and target when the UAV reaches the area of responsibility and during the tracking task. This assessment of the future is then used to compare the impact of choosing different alternative paths on the expected value of the detection time. A path with a lower expected value of detection time is preferred. In this paper the details of this method is described. Simulations are performed by a special purpose simulation tool to show the feasibility of this method and compare it with an exhaustive search.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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