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PD-Bug: A Novel Motion Planning Algorithm for Nonholonomic Car-Like Robots in Unknown Environments

  • Beijing Institute of Technology

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In this work, we propose a novel motion planning algorithm for nonholonomic car-like robots in unknown environments. The proposed algorithm termed Polynomial spiral and Dubins path Bug (PD-Bug) is developed as a variant of TangentBug. Considering the errors of range measurements and the shape of a robot, an environment model termed local target set (LTS) is established to provide an optimal local target during each planning period. For localization errors, a more robust motion mode switching mechanism is integrated into PD-Bug. A lookup table for cubic polynomial spirals is generated offline, providing a smooth and optimized trajectory with curvature constraints. The Dubins path is generated online as the sub-optimal solution and utilized to meet the orientation requirement of the target. We validate the applicability of PD-Bug in outdoor scenarios with real-time requirements. Compared with the traditional Bug algorithms, PD-Bug has a significant improvement in the robustness of the motion mode and the smoothness of the trajectory.

源语言英语
主期刊名2021 5th CAA International Conference on Vehicular Control and Intelligence, CVCI 2021
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781665408462
DOI
出版状态已出版 - 2021
活动5th CAA International Conference on Vehicular Control and Intelligence, CVCI 2021 - Tianjin, 中国
期限: 29 10月 202131 10月 2021

丛书

姓名2021 5th CAA International Conference on Vehicular Control and Intelligence, CVCI 2021

会议

会议5th CAA International Conference on Vehicular Control and Intelligence, CVCI 2021
国家/地区中国
Tianjin
时期29/10/2131/10/21

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