自主地面车辆高效路径规划的混合算法

2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV) Pub Date : 2016-11-01 DOI:10.1109/ICARCV.2016.7838802

S. Anavatti, Sumana Biswas, Jedd T. Colvin, Mahardhika Pratama

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引用次数: 1

摘要

本文综述了各种路径规划算法，并对其性能进行了分析。在此基础上，提出了一种高效的静态和动态环境下的路径规划混合算法。数值结果验证了所提出的设计。在不同场景下，将该方法与其他启发式算法进行了比较。结果表明，该算法比其他可比较的算法计算效率更高。

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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A hybrid algorithm for efficient path planning of autonomous ground vehicles

This paper discusses an overview on different path planning algorithms and analyzes their performance. Based on this, an efficient hybrid algorithm is proposed for path planning in both static and dynamic environments. The numerical results are presented to validate the proposed design. The method is compared to other heuristic algorithms in different scenarios. The proposed algorithm is shown to be more efficient computationally than the other comparable algorithms.

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来源期刊

2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV)

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