地形
算法
路径(计算)
运动规划
比例(比率)
计算机科学
钥匙(锁)
领域(数学)
人工智能
数学
地理
地图学
计算机安全
机器人
程序设计语言
纯数学
作者
Hongtao Yin,Lixin Zhang
标识
DOI:10.1109/icma57826.2023.10215843
摘要
Efficient and safe global path planning for vehicles is a key issue in the field of navigation. However, in large-scale maps, traditional A * algorithms have the problem of long search times, which seriously affects planning efficiency. This article proposes a global planning algorithm called RRT-A * based on large-scale maps, considering multiple path costs, and designing dynamic step size adjustment. The results show that the algorithm proposed in this article has much shorter planning time than A * , the time consumption is close to RRT and has lower path cost than RRT algorithms. Therefore, it can greatly improve the efficiency of path planning in large-scale maps.
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