基于路权的加速速度障碍

Balaji Gorantla, Satadal Ghosh
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引用次数: 0

摘要

本文提出了一种新型的二阶在线局部反应运动规划算法,即“基于路权的加速度速度障碍”(R-AVO),该算法同时考虑了监管机构制定的路权规则。根据所开发的算法,在多智能体动态环境中,每个无人驾驶车辆(agent)都可以生成无碰撞、动态可行、目标导向的轨迹。此外,考虑的路权规则使智能体之间的隐式协调成为可能,并有助于防止智能体计划轨迹中的任何相互振荡。通过大量的仿真研究来说明所提出的算法在相关有效性度量方面的性能,这也表明所开发的运动规划算法的实时可实现性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Right-of-Way-based Acceleration Velocity Obstacle
A novel second -order online local reactive motion planner, named ‘Right-of-Way-based Acceleration Velocity Obstacle’ (R-AVO), which also incorporates right-of-way rules established by regulatory authorities, is developed in this paper. Following the developed algorithm, each unmanned vehicle (a.k.a. agent) in a multi-agent, dynamic environment can generate a collision-free, dynamically feasible, and goal-oriented trajectory. Moreover, the considered right-of-way rules enable an implicit coordination between the agents and aid in preventing any reciprocal oscillation in the planned trajectories of the agents. Extensive simulation studies are performed to illustrate the performance of the proposed algorithm in terms of relevant measures of effectiveness, which also indicate real-time implementability of the developed motion planning algorithm.
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