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Two Dimensional Collision- Free Path Planning Using Linear Parametric Curve

机译:使用线性参数曲线的二维无冲突路径规划

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摘要

An effective algorithm for planning a collision-free path based on linear parametric curve is developed. A collision-free path is viewed as a series of segmented polynomial curves in a space that does not interfere with any object in a given work space. It is assumed that the path connecting start and target points has no width. The algorithm presented here uses a linear parametric curve as a base curve and maps objects in Euclidean Space (ES) into objects in Control Point Space (CPS) through intersection checks between path and obstacles. A path having a single control point is investigated here. The Free Space (FS) of CPS identifies a collision-free path in ES, hence any point in the FS of CPS is a candidate for a collision-free path. A CPS completely occupied by obstacle images indicates no collision-free path is available with a single control point and a search based on a multiple control point is required. The shortest path with minimum search time is obtained by setting CPS in elliptic coordinate. Considerations are given to get a path with the smallest maximum curvature by selecting the control point toward the bisection line of ST and smoothing the path.
机译:提出了一种有效的基于线性参数曲线的无碰撞路径规划算法。无碰撞路径被视为空间中的一系列分段多项式曲线,该曲线不干扰给定工作空间中的任何对象。假设连接起点和目标点的路径没有宽度。此处提出的算法使用线性参数曲线作为基本曲线,并通过路径和障碍物之间的相交检查将欧氏空间(ES)中的对象映射为控制点空间(CPS)中的对象。在此研究具有单个控制点的路径。 CPS的自由空间(FS)标识ES中的无冲突路径,因此CPS FS中的任何点都是无冲突路径的候选者。完全由障碍物图像占据的CPS表示单个控制点没有可用的无碰撞路径,并且需要基于多个控制点进行搜索。通过在椭圆坐标中设置CPS,可以获得搜索时间最短的最短路径。通过选择朝向ST的等分线的控制点并平滑路径,可以考虑获得最大曲率最小的路径。

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