Electronics Optics & Control, Volume. 32, Issue 5, 67(2025)
A Multi-UAV Mission Planning Method Based on Feature Information Mining
[2] [2] FABIANI P, FUERTES V, PIQUEREAU A, et al. Autonomous flight and navigation of VTOL UAVs: from autonomy demonstrations to out-of-sight flights[J]. Aerospace Science and Technology, 2007, 11: 183-193.
[3] [3] LEARY S,DEITTERT M,BOOKLESS J. Constrained UAV mission planning: a comparison of approaches[C]//IEEE International Conference on Computer Vision Workshops (ICCV Workshops). Barcelona: IEEE,2011:2002-2009.
[4] [4] WANG Z, LIU Q Q, TAO H T, et al. Multiple task planning based on TS algorithm for multiple heterogeneous unmanned aerial vehicles[C]//IEEE Chinese Guidance, Navigation and Control Conference(CGNCC). Yantai: IEEE, 2014: 630-635.
[5] [5] SHANG K, KARUNGARU S, FENG Z R, et al. A GA-ACO hybrid algorithm for the multi-UAV mission planning problem[C]//14th International Symposium on Communications and Information Technologies(ISCIT). Incheon: IEEE, 2014: 243-248.
[6] [6] CHEN Y C, PENG W C, LEE S Y. Mining temporal patterns in time interval-based data[J]. IEEE Transactions on Knowledge and Data Engineering, 2015, 27(12): 3318-3331.
[7] [7] SHARMA A K, PATEL D. STIPA: a memory efficient technique for interval pattern discovery[C]//IEEE International Conference on Big Data. Seattle: IEEE, 2018. doi:10.1109/BigData.2018.8622421.
[8] [8] GUYET T, QUINIOU R. Extracting temporal patterns from interval-based sequences[C]//Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI). Barcelona: IJCAI, 2011: 1306-1311.
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YAN Jiazhi, DONG Xiaoxu, WANG Yuexing, WANG Miao. A Multi-UAV Mission Planning Method Based on Feature Information Mining[J]. Electronics Optics & Control, 2025, 32(5): 67
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Received: Apr. 12, 2024
Accepted: May. 13, 2025
Published Online: May. 13, 2025
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