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

Jinhu Wang

doi:10.4233/uuid:81d9473e-667e-4301-bd48-f7f0218974af

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

Jinhu Wang

Optical and Laser Remote Sensing

Research output: Thesis › Dissertation (TU Delft)

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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.

Original language	English
Awarding Institution	Delft University of Technology
Supervisors/Advisors	Menenti, M., Supervisor Lindenbergh, R.C., Advisor
Award date	7 Jul 2017
Print ISBNs	978-94-92683-65-6
DOIs	https://doi.org/10.4233/uuid:81d9473e-667e-4301-bd48-f7f0218974af
Publication status	Published - 2017

Keywords

Mobile Laser Scanning
voxels
octrees
geometric information
individual tree separation
object recognition

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.4233/uuid:81d9473e-667e-4301-bd48-f7f0218974af

Dissertation_JinhuWangFinal published version, 103 MB
Proposition_JinhuWangFinal published version, 37.3 KB

Cite this

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title = "Scalable information extraction from point cloud data obtained by mobile laser scanner",

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.",

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PY - 2017

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N2 - 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.

AB - 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.

KW - Mobile Laser Scanning

KW - voxels

KW - octrees

KW - geometric information

KW - individual tree separation

KW - object recognition

UR - http://resolver.tudelft.nl/uuid:81d9473e-667e-4301-bd48-f7f0218974af

U2 - 10.4233/uuid:81d9473e-667e-4301-bd48-f7f0218974af

DO - 10.4233/uuid:81d9473e-667e-4301-bd48-f7f0218974af

M3 - Dissertation (TU Delft)

SN - 978-94-92683-65-6

ER -

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

Abstract

Keywords

UN SDGs

Access to Document

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