基于地形坡度的路径规划算法及其在复杂地形环境滑动预测中的应用研究

Lanfeng Zhou, Lina Yang, Hanwei Tang
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引用次数: 4

摘要

本课题针对软地形环境中由于滑坡导致的路径规划失效问题,提出了一种基于地形坡度的路径规划算法进行滑坡预测。首先,利用地形坡度信息对滑坡进行预测,并提出了滑坡预测算法;然后,将滑移预测信息合并到地形可穿越性代价函数中,生成优度图,实现滑移预测与路径规划算法的集成;基于滑移预测的路径规划算法可以选择更好的路径,甚至可以避免滑移较大的地形在卡住之前,提高该地形环境下,特别是软地形环境下的路径规划效率;为月球车自主导航的发展奠定了重要的理论基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on path planning algorithm and its application based on terrain slope for slipping prediction in complex terrain environment
The project proposed a path planning algorithm based on terrain slope for slip prediction, aiming at the path planning failure caused by the slip in soft terrain environment. First, the slippage is predicted using terrain slope information, and a slip prediction algorithm is developed; then, merging the predicted slip information into the terrain traversability cost function, the goodness map was generated, and the integration of the slip prediction and path planning algorithm is implemented. The path planning algorithm by slip prediction can choose a better path, even avoid that terrains of large slip before getting stuck and increase the efficiency of path planning in that terrain environments, especially in soft terrain environment; It is established the important theoretical foundation of the development on the autonomous navigation of lunar rover.
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