A Human-machine Cooperation Route Planning Method Based on Improved A* Algorithm
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.
route planning human-machine cooperation A* algorithm guide points
Zhengsheng Zhang Chao Cai
Institute for Pattern Recognition and Artificial Intelligence, State Key Laboratory for Multi-spectr Institute for Pattern Recognition and Artificial Intelligence, State Key Laboratory for Multi-spectr
国际会议
桂林
英文
1-5
2011-11-01(万方平台首次上网日期,不代表论文的发表时间)