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Smooth Path Planning by Fusion of Artificial Potential Field Method and Collision Cone Approach

机译:人工势场法与碰撞锥法融合的平滑路径规划

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摘要

A variety of path planning methods have been developed for different purposes, such as minimum path length and minimum processing time and smoothness of the path. This paper presents a novel path planning method by fusion of artificial potential filed (APF) and collision cone approach. The proposed algorithm provides smooth path and avoids local minima problem of the existing APF. And the smoothness of the path produced from the proposed algorithm is estimated by calculating the accumulated force which occurs while a robot passes a whole path. The proposed smooth path planning also can be helpful for considering vehicle kinematics and the safety of vehicle passengers. The simulation results demonstrate the performance of the proposed method.
机译:已经针对不同目的开发了各种路径规划方法,例如最小路径长度和最小处理时间以及路径的平滑度。本文提出了一种通过人工势场(APF)和碰撞锥方法相融合的新型路径规划方法。所提出的算法提供了平滑的路径并避免了现有APF的局部最小值问题。通过计算机器人通过整条路径时发生的累积力,可以估算出由所提出的算法产生的路径的平滑度。提出的平滑路径规划也有助于考虑车辆运动学和车辆乘客的安全。仿真结果证明了该方法的有效性。

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