Research on a UAV path planning method for ground observation based on threat sources

Hao Yan; Xing Fan; Xuezhi Xia; Linshu Lin

doi:10.1117/12.815596

29 December 2008 Research on a UAV path planning method for ground observation based on threat sources

Hao Yan, Xing Fan, Xuezhi Xia, Linshu Lin

Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 728536 (2008) https://doi.org/10.1117/12.815596
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China

Abstract

The path planning method is one of the main research directions in current UAV(unmanned aerial vehicle) technologies. In this paper we perform analyses on the adversarial environment which may be broken through during the UAV mission for ground observation, and carry out the grade classification according to the threat level. On the basis of genetic algorithm, the encoding method of dimension reduction and direct quantization is used to combine the threat value of each leg with the flight distance, so as to construct the fitness evaluation function based on the threat amount and design the algorithm. This method is proven to be able to converge effectively and quickly via the simulation experiments, which meet the threat restriction and applicability of UAV in route planning.

Citation Download Citation

Hao Yan, Xing Fan, Xuezhi Xia, and Linshu Lin "Research on a UAV path planning method for ground observation based on threat sources", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 728536 (29 December 2008); https://doi.org/10.1117/12.815596

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