Journal of Radiation Research and Radiation Processing, Volume. 40, Issue 6, 060601(2022)
Path planning for nuclear radiation environments based on an improved artificial potential field A* algorithm
Fig. 1. Environmental modelling: (a) mode of search; (b) raster maps and risk points
Fig. 2. Heuristic function selection of A* algorithm: (a) dose rate selection of adjacent grids; (b) selection of estimated path dose rate
Fig. 4. Comparison with the cited literature algorithm after improving the evaluation function in this paper:(a) comparison of the number of search nodes; (b) total dose comparison (color online)
Fig. 5. Comparison diagram of the algorithm after the introduction of artificial potential field influence:(a) 30×30 map; (b) 50×50 map
Fig. 6. Comparison diagram of algorithm after introducing dynamic coefficient: (a) 30×30 map; (b) 50×50 map
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Mengwen QIU, Hua ZHANG, Huaifang ZHOU. Path planning for nuclear radiation environments based on an improved artificial potential field A* algorithm[J]. Journal of Radiation Research and Radiation Processing, 2022, 40(6): 060601
Category: Research Articles
Received: Jun. 3, 2022
Accepted: Sep. 7, 2022
Published Online: Jan. 4, 2023
The Author Email: ZHANG Hua (swustai@163.com)