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MACHINE LEARNING-BASED AUTOMATIC INDOOR MAP GENERATION SYSTEM FOR COMBINING 3D SLAM POINT CLOUD USING 3D LIDAR, DATA, AND HYBRID POSITION INFORMATION
MACHINE LEARNING-BASED AUTOMATIC INDOOR MAP GENERATION SYSTEM FOR COMBINING 3D SLAM POINT CLOUD USING 3D LIDAR, DATA, AND HYBRID POSITION INFORMATION
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机译：基于机器学习的自动室内地图生成系统，用于使用3D LIDAR，数据和混合位置信息结合3D Slam Point云
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摘要
Disclosed is a machine learning-based automatic indoor map generation system for combining 3D SLAM point cloud using 3D LiDar and hybrid position information, the system comprising: a point cloud collection module (11) for collecting, for map generation, a point cloud configured by distance values from a particular position to a surrounding object; an infra data collection module (13) for collecting surrounding infra data so as to locate the particular position; a position-specific point cloud DB (21) which stores point cloud collection data; a position-specific infra data DB (22) which stores infra data; and a position-specific grouping module (15) which groups position-specific point cloud data and position-specific infra data, and stores the grouped data in a grouping data DB (23).
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