Human-machine cooperation in unmanned aerial vehicle path planning based on cloud model

Xixia Sun; Chao Cai

doi:10.1117/12.901655

8 December 2011 Human-machine cooperation in unmanned aerial vehicle path planning based on cloud model

Xixia Sun, Chao Cai

Proceedings Volume 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis; 80030Q (2011) https://doi.org/10.1117/12.901655
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

A human-machine cooperative path planning model based on cloud model is proposed in this paper. The system enables the planner take part in the A* searching process and the cloud model integrates fuzziness with randomness of the qualitative concept. In the process of human-computer cooperation, the position of the leading field is figured out based on cloud model; it effectively guides the A* searching process and avoids the drawback of the algorithm. Experiment results demonstrated the validity and the feasibility of the model. It's much more efficient than either a human or a computer algorithm in the path planning tasks.

Citation Download Citation

Xixia Sun and Chao Cai "Human-machine cooperation in unmanned aerial vehicle path planning based on cloud model", Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 80030Q (8 December 2011); https://doi.org/10.1117/12.901655

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