2019
DOI: 10.12783/dtetr/icicr2019/30543
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Route Planning of Unmanned Aerial Vehicle Based on Sparse A* Algorithm

Abstract: Considering the matters of accuracy, real-time, task adaptability and dynamic re-planning for the route planning of unmanned aerial vehicle. When the unmanned aerial vehicle is planning its route on a largescale map, it needs to ensure better real-time performance. If new obstacles are encountered during flight, the route planning algorithm needs to be able to carry out dynamic planning to re-plan the route to avoid the new obstacles. This paper presented an optimized route planning of unmanned aerial vehicle … Show more

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