Scalable information extraction from point cloud data obtained by mobile laser scanner
J. Y. Wang (TU Delft - Optical and Laser Remote Sensing)
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Abstract
The rise of intelligent transportation, autonomous driving and 3D virtual cities demands highly accurate and regularly updated 2D and 3D maps. However, traditional surveying andmapping techniques are inadequate as they are labor intensive and cost inefficient. Mobile Laser Scanning (MLS) systems, which combine Light Detection and Ranging (LiDAR) with navigation techniques, are able to acquire highly accurate 3D measurements of road environments.