Paper
23 November 2011 A human-machine cooperation route planning method based on improved A* algorithm
Author Affiliations +
Proceedings Volume 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 80062P (2011) https://doi.org/10.1117/12.902909
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China
Abstract
To avoid the limitation of common route planning method to blindly pursue higher Machine Intelligence and autoimmunization, this paper presents a human-machine cooperation route planning method. The proposed method includes a new A* path searing strategy based on dynamic heuristic searching and a human cooperated decision strategy to prune searching area. It can overcome the shortage of A* algorithm to fall into a local long term searching. Experiments showed that this method can quickly plan a feasible route to meet the macro-policy thinking.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhengsheng Zhang and Chao Cai "A human-machine cooperation route planning method based on improved A* algorithm", Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80062P (23 November 2011); https://doi.org/10.1117/12.902909
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KEYWORDS
Evolutionary algorithms

Detection and tracking algorithms

Computer simulations

Artificial intelligence

Chaos

Data processing

Information technology

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