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A NEW PATH PLANNING ALGORITHM FOR HIGHWAY ENVIRONMENTS USING ADAPTIVE POLAR SPLINES

机译:一种新的使用自适应极性样条的高速公路环境路径规划算法

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Path planning algorithms are an important prerequisite to future driver assistance systems. In this paper, an approach for path planning on highways is presented. The method uses adaptive polar splines in combination with a dynamic graph search algorithm in order to construct curvature-continuous, collision-free paths that can be used without further modifications by vehicles with differential constraints. Simulations show that the method is able to determine reasonable paths on highway scenarios in a short amount of time. Furthermore, the approach allows online reactions on environmental changes, e. g. suddenly appearing obstacles.
机译:路径规划算法是未来驾驶员辅助系统的重要前提。本文提出了一种在高速公路上进行路径规划的方法。该方法使用具有动态图形搜索算法的自适应极性样条曲线,以构造可以使用的曲率连续,无碰撞的路径,而无需进一步修改具有差分约束的车辆。仿真表明,该方法能够在短时间内确定高速公路场景上的合理路径。此外,该方法允许对环境变化的在线反应,即G。突然出现障碍。

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