Vehicle Localization in Urban Environment Using a 2D Online Map with Building Outlines

Jonghwi Kim, Yonghoon Cho, Jinwhan Kim
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引用次数: 2

Abstract

We discuss GPS-free localization in urban areas using a lidar and a 2D online map with building outlines. To achieve this, the boundaries of buildings extracted from the reference map are matched to 3D point cloud data provided by the lidar. The normalized mutual information between them is maximized. The matching result is used as a measurement and combined with odometry and inertial sensor measurements using an extended Kalman filter. The proposed method has been implemented and verified through an experiment with a mobile robot.
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基于建筑轮廓的二维在线地图在城市环境中的车辆定位
我们使用激光雷达和带有建筑轮廓的2D在线地图讨论城市地区的无gps定位。为了实现这一点,从参考地图中提取的建筑物边界与激光雷达提供的3D点云数据相匹配。使它们之间的归一化互信息最大化。匹配结果作为测量,并结合里程计和惯性传感器测量使用扩展卡尔曼滤波。该方法已通过移动机器人的实验实现并得到验证。
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