Simulations for time-optimal trajectory planning along parametric polynomial lane-change curves for a unicycle

Chien-Sheng Wu, Zih-Yun Chiu, Jing-Sin Liu
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引用次数: 1

Abstract

G2 lane-change path imposes symmetry boundary conditions on the path geometry for autonomous point-to-point movement. This paper presents the comparative study of three planar parametric polynomial curves as lane-change paths followed by an autonomous vehicle, assuming that the neighboring lane is free. A simulated model based on unicycle that accounts for acceleration constraints, velocity bounds and the time-optimal parameterization of each path is adopted. We base the timeoptimal trajectory simulations on numerical integration for each family of lane-change curves under two different end conditions representing loose and hard curvature scenarios to highlight the effect of path curvature on achievable speed or minimal travel time. Simulations show that the dominating factor for travel time of following a lane change curve is different for loose and hard curvature condition. Conclusions for fastest lane-change performed by unicycle could provide a reference for more complex and complete dynamic model of autonomous vehicle considering tire and friction forces.
单轮自行车参数多项式变道曲线时间最优轨迹规划仿真
G2变道路径在路径几何上施加对称边界条件以实现自主点对点移动。本文对自动驾驶汽车在相邻车道为自由车道的情况下,所遵循的三个平面参数多项式曲线变道路径进行了比较研究。采用了考虑加速度约束、速度边界和各路径时间最优参数化的单轮仿真模型。为了突出路径曲率对可达速度或最小行驶时间的影响,我们对两种不同端点条件下的每一组变道曲线进行了数值积分,从而建立了时间最优轨迹仿真。仿真结果表明,在松曲率和硬曲率条件下,变道弯道行驶时间的支配因素是不同的。单轮车快速变道的研究结论可为更复杂、更完整的考虑轮胎和摩擦力的自动驾驶汽车动力学模型提供参考。
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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