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10 July 2020 Marine Island UAV Aerial Photography: A Path-Planning Algorithm-Based Study
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Abstract

Wang, Z. and Yue, P., 2020. Marine island UAV aerial photography: A path-planning algorithm-based study. In: Gong, D.; Zhang, M., and Liu, R. (eds.), Advances in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 106, pp. 642–645. Coconut Creek (Florida), ISSN 0749-0208.

The development of artificial intelligence and information technology provides convenient conditions for the rapid application of unmanned aerial vehicles (UAVs). With more and more fields using UAVs for mission operation, higher requirements are put forward for UAV path planning. In the process of flight, intelligent avoidance of obstacles and autonomous noninterference flight are the hot spots of UAV aircraft planning research. This study first analyzes the key issues that should be considered in UAV path planning, studies the algorithm of UAV path planning based on island aerial photography, and gives the algorithm for optimization of UAV coverage path planning based on island aerial photography.

©Coastal Education and Research Foundation, Inc. 2020
Zhiguo Wang and Ping Yue "Marine Island UAV Aerial Photography: A Path-Planning Algorithm-Based Study," Journal of Coastal Research 106(sp1), 642-645, (10 July 2020). https://doi.org/10.2112/SI106-145.1
Received: 20 December 2019; Accepted: 5 February 2020; Published: 10 July 2020
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