Fast Shortest Path Polyline Smoothing With $G^{1}$ Continuity and Bounded Curvature

IF 5.3 2区 计算机科学 Q2 ROBOTICS IEEE Robotics and Automation Letters Pub Date : 2025-02-11 DOI:10.1109/LRA.2025.3540531
Patrick Pastorelli;Simone Dagnino;Enrico Saccon;Marco Frego;Luigi Palopoli
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Abstract

In this work, we propose the Dubins Path Smoothing (DPS) algorithm, a novel and efficient method for smoothing polylines in motion planning tasks. DPS applies to motion planning of vehicles with bounded curvature. In the letter, we show that the generated path: 1) has minimal length, 2) is $G^{1}$ continuous, and 3) is collision-free by construction, under mild hypotheses. We compare our solution with the state-of-the-art and show its convenience both in terms of computation time and of length of the compute path.
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具有$G^{1}$连续性和有界曲率的快速最短路径折线平滑
在这项工作中,我们提出了Dubins路径平滑(DPS)算法,这是一种新颖有效的运动规划任务中光滑折线的方法。DPS适用于曲率有限的车辆运动规划。在信中,我们证明了生成的路径:1)具有最小长度,2)是$G^{1}$连续的,3)通过构造是无碰撞的,在温和的假设下。我们将我们的解决方案与最先进的解决方案进行比较,并显示其在计算时间和计算路径长度方面的便利性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Robotics and Automation Letters
IEEE Robotics and Automation Letters Computer Science-Computer Science Applications
CiteScore
9.60
自引率
15.40%
发文量
1428
期刊介绍: The scope of this journal is to publish peer-reviewed articles that provide a timely and concise account of innovative research ideas and application results, reporting significant theoretical findings and application case studies in areas of robotics and automation.
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