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Platoon of autonomous vehicles with rear-end collision avoidance through time-optimal path-constrained trajectory planning

机译:通过时间最优路径约束的轨迹规划避免尾部碰撞的自动驾驶汽车排

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This paper focuses on the minimum-time trajectory planning for a platoon of autonomous vehicles with rear-end collision avoidance along a given path under velocity and acceleration constraints. Specifically, with the aid of time-optimal path-constrained trajectory planning (TOPCTP) techniques, we present a trajectory planning algorithm to generate time-optimal velocity profiles, which guarantees the rear-end collision avoidance and satisfies velocity and acceleration constraints for the head and follower vehicles in this platoon. For the head vehicle, TOPCTP techniques are directly used to generate a time-optimal velocity profile. For the follower vehicle, a safety point on the given path is first computed to guarantee that the rear-end collision is avoided. Then, towards the safety point, TOPCTP techniques are again used to generate a time-optimal velocity profile of the follower vehicle along the given path under velocity and acceleration constraints. Simulation results on a platoon of nonholonomic vehicles are provided to verify the effectiveness of the presented algorithm.
机译:本文着重研究了在速度和加速度约束下沿给定路径避开追尾碰撞的自动驾驶汽车排的最短时间轨迹规划。具体来说,借助时间最优路径约束的轨迹规划(TOPCTP)技术,我们提出了一种轨迹规划算法来生成时间最优速度曲线,该算法可确保避免追尾碰撞并满足头部的速度和加速度约束和该排的随动车。对于头部车辆,TOPCTP技术直接用于生成时间最佳速度曲线。对于随车,首先要计算给定路径上的安全点,以确保避免追尾事故。然后,朝着安全点,TOPCTP技术再次用于在速度和加速度约束下沿给定路径生成随车的时间最优速度曲线。提供了非完整车辆排的仿真结果,以验证所提出算法的有效性。

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