A novel concept of lane-keeping algorithms for mobile robots

Z. Gyenes, E. Szádeczky-Kardoss
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引用次数: 2

Abstract

In this work, a new concept of lane-keeping motion planning algorithms for mobile robots is introduced. It is called Velocity Lane-keeping (VLK) method because it is an extension of the well-known Velocity Obstacles (VO) method. The goal of the novel algorithm is to select a velocity vector, such that the robot does not leave the lane if collision-free motion is available. Another goal is that the robot has to reach the desired position. The algorithm calculates the velocity and the path profile only for the robot, the obstacles’ velocities are supposed to be known (or measurable) at every sampling time. The robot has to execute the motion to the goal position even if there are not only static but also moving obstacles in the workspace. The VLK method can be extended with a cost function resulting an effective target reaching method for the mobile robot in the lane. The novel algorithm was tested in simulations.
移动机器人车道保持算法的新概念
本文提出了一种新的移动机器人车道保持运动规划算法。由于该方法是对速度障碍(VO)方法的扩展,因此称为速度车道保持(VLK)方法。该算法的目标是选择一个速度向量,使机器人在无碰撞运动的情况下不会离开车道。另一个目标是机器人必须到达期望的位置。该算法只计算机器人的速度和路径轮廓,每次采样时障碍物的速度都是已知的(或可测量的)。即使工作空间中既有静态障碍物,也有移动障碍物,机器人也必须执行运动到目标位置。将VLK方法扩展为代价函数,得到了一种有效的移动机器人在车道内的目标到达方法。该算法在仿真中得到了验证。
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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