bsamzier曲线在自动驾驶汽车运动优化规划中的应用

Thomas Berry, A. Pascoal
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引用次数: 0

摘要

自动驾驶汽车的协同运动规划技术有很多。本文的重点是一种特殊类型的方法,被称为直接方法,解决运动规划表示为一个连续时间最优控制问题。在研究的所有直接方法中,基于Bernstein多项式的方法被证明提供了最好的结果,即防止车辆间和环境碰撞的轨迹,同时满足车辆约束并保持与时间相关的能量成本接近最佳。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Use of Bézier Curves for Optimal Motion Planning of Autonomous Vehicles
There are a wide range of techniques available for cooperative motion planning of autonomous vehicles. This paper focuses on one particular type of methods, known as Direct Methods, that solve motion planning expressed as a continuous-time optimal control problem. Out of all of the Direct Methods that were investigated, methods based on Bernstein polynomials were shown to provide the best results, namely, trajectories that prevent inter-vehicular and environmental collisions while satisfying vehicle constraints and keeping energy of temporal-related costs close to optimal.
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