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DETECTION OF TOPOLOGICAL STRUCTURE FROM SENSOR DATA WITH APPLICATION TO AUTONOMOUS DRIVING IN SEMI-STRUCTURED ENVIRONMENTS

机译:基于传感器数据的拓扑结构检测及其在半结构化环境中的自驱动

摘要

A method of creating an obstacle-free diagram using topological sensor data to form a graph corresponding to a driving path, transforming the graph using discrete heuristics, locally smoothing a plurality of edges of the graph after the transforming, and globally smoothing the graph after the locally smoothing. Transforming includes deleting an edge of the graph, merging two intersections of the graph into a single intersection, and collapsing a plurality of edges forming a loop into a single edge. Locally smoothing includes smoothing a lane segment of the graph by minimizing a sum of a function of smoothness and a function of distance. Globally smoothing includes defining an intersection potential and minimizing a sum of the function of smoothness, the function of distance, a function of intersections and a function of direction.
机译:一种使用拓扑传感器数据创建无障碍图以形成与行驶路径相对应的图,使用离散试探法变换图,在变换后局部平滑图的多个边缘以及在变换后全局平滑图的方法局部平滑。变换包括删除图形的边缘,将图形的两个交点合并为单个交点,以及将多个边折叠以形成一个循环为单个边缘。局部平滑包括通过最小化平滑函数和距离函数之和来平滑图形的车道段。全局平滑包括定义相交电位,并最小化平滑度函数,距离函数,相交函数和方向函数之和。

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