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ITERATIVE CLOSEST POINT PROCESS BASED ON LIDAR WITH INTEGRATED MOTION ESTIMATION FOR HIGH DEFINITION MAPS

机译:集成运动估计的基于激光雷达的迭代最近点过程

摘要

A system align point clouds obtained by sensors of a vehicle using kinematic iterative closest point with integrated motions estimates. The system receives lidar scans from a lidar mounted on the vehicle. The system derives point clouds from the lidar scan data. The system iteratively determines velocity parameters that minimize an aggregate measure of distance between corresponding points of the plurality of pairs of points. The system iteratively improves the velocity parameters. The system uses the velocity parameters for various purposes including for building high definition maps used for navigating the vehicle.
机译:系统利用运动迭代最近点与集成运动估计来对齐由车辆的传感器获得的点云。该系统从安装在车辆上的激光雷达接收激光雷达扫描。该系统从激光雷达扫描数据得出点云。该系统迭代地确定速度参数,该速度参数使多对点对中的相应点之间的距离的总度量最小化。该系统迭代地改善了速度参数。该系统将速度参数用于各种目的,包括用于构建用于导航车辆的高清晰度地图。

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