Abstract
In this work, we implement a mobile system called Velobug to measures 3D data of the environment. Velobug could generate dense and colored point cloud to reconstruct the environment for 3D mapping with long effective range. Velobug is mainly consisted of a Velodyne HDL-32e LiDAR senor and a Point Grey Research Ladybug3 panoramic camera. The LiDAR sensor is utilized to acquire 3D data of the environment and generate point cloud. Pictures captured by the panoramic camera are used for complementing RGB information of the point cloud after the calibration between the panoramic camera and the LiDAR sensor. We could maker point cloud denser by registering multiple frames of point cloud with Generalized Iterative Closet Point(Generalized-ICP) method. We evaluate Velobug in an underground shopping street near Nagoya Station. The experiment result shows the mobility, practicability and efficiency in reconstruction for 3D indoor mapping.
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