Systems Engineering and Electronics
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WEI Rui-xuan, XU Zhuo-fan, WANG Shu-lei, Lv Ming-hai
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Abstract:
In order to relieve the operation burden and time consume for unmanned aerial vehicle (UAV) path planning, a novel UAV path planning method named LAStar algorithm is proposed which as well guarantees the adaption in scenarios of various threat areas and terrains. Under the roundness assumption of all threat areas and no-fly-zones, the Laguerre diagram algorithm is applied to pre-plan the flight path which largely benefits path re-plan because of shrunk operation space. With the original shape of threat areas, improved A-Star algorithm is then applied in path replanning with reference to pre-planned path. Finally, optimize the path planned above. Simulations show the LA-Star algorithm satisfies time and veracity requirements.
WEI Rui-xuan, XU Zhuo-fan, WANG Shu-lei, Lv Ming-hai. Self-optimization A-Star algorithm for UAV path planning based on Laguerre diagram[J]. Systems Engineering and Electronics, doi: 10.3969/j.issn.1001-506X.2015.03.16.
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URL: https://www.sys-ele.com/EN/10.3969/j.issn.1001-506X.2015.03.16
https://www.sys-ele.com/EN/Y2015/V37/I3/577