面向未知环境探索的分层架构路径规划算法
作者:
作者单位:

1.北京理工大学机械与车辆学院;2.北京北方车辆集团有限公司

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基金项目:

北京市自然基金(No. 3212013), 中国汽车工程学会青年托举人才(No. YESS20200301), 北京市科协金桥工程

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Hierarchical Path Planning Algorithm for Exploring Unknown Environments
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Affiliation:

1.School of Mechanical Engineering,Beijing Institute of Technology,Beijing;2.Beijing North Vehicle Group Co,Ltd,Beijing

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    摘要:

    为实现无人平台在未知环境下的高效路径探索,本文提出了一种以“感知-规划-控制”分层架构为基础的路径规划算法。在感知层通过Cartographer建图算法实时构建未知环境的二维栅格地图;在规划层,通过Canny边缘检测、基于密度的聚类算法、效能函数评估选择最佳探索目标点,并在规划的效能函数中引入探索方向延续性概念,克服了传统路径规划反复探索已知环境的缺点。在控制层,通过概率路线图算法规划从当前位姿到目标点的最短路径,并通过纯跟踪算法和向量直方图算法实现了路径无碰撞跟踪。通过三种典型环境下仿真实验,结果表明所提出的算法在不同环境下均具有较高的探索效率和完成度。

    Abstract:

    To realize efficient path exploration of unmanned platforms in unknown environments, a path planning algorithm based on a hierarchical architecture of "perception planning control" is studied in this work. Real-time construction of two-dimensional grid maps of unknown environments using the Cartographer mapping algorithm at the perception layer. At the planning level, the optimal exploration target point is selected by Canny edge detection, density-based clustering algorithm, and performance function evaluation. Specifically, the concept of continuity of exploration direction is introduced into the efficiency function of planning, overcoming the drawbacks of traditional path planning that repeatedly explores known environments. At the control layer, the shortest path from the current pose to the target point is planned using probability roadmap algorithm, and collision-free tracking of the path is achieved through pure tracking algorithm and vector histogram algorithm. The effectiveness of the algorithm was verified through simulation in three typical environments, and the results showed that the proposed algorithm can achieve higher exploration efficiency and completeness in different environments.

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引用本文

樊杰,张旭东,耿江波,等.面向未知环境探索的分层架构路径规划算法 [J].集成技术,

Citing format
FAN Jie, ZHANG Xudong, GEN Jiangbo, et al. Hierarchical Path Planning Algorithm for Exploring Unknown Environments[J]. Journal of Integration Technology.

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  • 收稿日期:2023-07-17
  • 最后修改日期:2023-07-17
  • 录用日期:2024-01-16
  • 在线发布日期: 2024-01-16
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