Scalable information extraction from point cloud data obtained by mobile laser scanner

Doctoral thesis (2017)

Authors

J. Wang Optical and Laser Remote Sensing - CEG
Research Group
Optical and Laser Remote Sensing (CEG) (TU Delft)
Copyright: © 2017 J. Wang
DOI
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https://doi.org/10.4233/uuid:81d9473e-667e-4301-bd48-f7f0218974af
Object recognition Mobile Laser Scanning Voxels Octrees Geometric information Individual tree separation
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Published Date

2017

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Geoscience and Remote Sensing

Research Group

Optical and Laser Remote Sensing

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.