能见度
运动规划
趋同(经济学)
算法
计算机科学
路径(计算)
遥感
表面粗糙度
环境科学
地质学
航空航天工程
气象学
工程类
人工智能
地理
材料科学
机器人
经济增长
经济
复合材料
程序设计语言
作者
Siqing Peng,Qingyao Zeng,Chu Li,Zhijuan Su,Gang Wan,Lei Liu
标识
DOI:10.1109/iceemt59522.2023.10263015
摘要
Based on the improved A* algorithm, a lunar rover path planning algorithm based on slope, roughness, Solar illumination conditions and Earth visibility conditions is proposed in this paper. Because the South Pole of the Moon contains many permanently Shadowed areas, where large amounts of water ice and related resources are concentrated, it is considered a potential lunar base landing site. Lunar rovers on missions need path planning to reduce driving costs and risks. This paper uses DEM image to generate slope and roughness information, combined with the lunar South Pole solar illumination and the earth visibility condition, considering the convergence speed and environmental complexity of the algorithm, improves the traditional A* algorithm, and gives the simulation results.
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