New advances in automated Urban modelling from airborne laser scanning data

Debra Laefer, T. Hinks, H. Carr, L. Truong-Hong

Research output: Contribution to journalArticle

Abstract

Traditionally, urban models in many applications such as urban planning, disaster management, and computer games only require visual accuracy. However, more recently, updating urban infrastructure combined with the rise of mega-cities (i.e. those with populations over ten million) has motivated researchers and users to utilize city-scale models for engineering purposes (e.g. tracking pollution monitoring, optimizing solar panel placement), which necessitates high geometric accuracy. Currently, a major bottleneck lies in the cost of generating accurate, geo-spatially referenced models. This paper presents the evolution of some of the efforts to automatically produce such models. Specifically, recent advances in airborne laser scanning can rapidly acquire accurate, spatial data for large geographic areas in hours, but due to the size of the data sets, coupled with difficulties of capturing and portraying complex structures, many post-processing issues have only recently been addressed to a level sufficient to begin to facilitate automation, especially of building surface reconstruction. Automation is a critical step for further processing and utilization of airborne laser scanned data for engineering-based, urban modeling. This paper presents recent development of the methods for building detection and extraction, with an emphasis on patents and other contributions related to automated processing of airborne laser scanning data.

Original languageEnglish (US)
Pages (from-to)196-208
Number of pages13
JournalRecent Patents on Engineering
Volume5
Issue number3
DOIs
StatePublished - Dec 2011

Fingerprint

Scanning
Lasers
Automation
Processing
Computer games
Urban planning
Surface reconstruction
Disasters
Pollution
Monitoring
Costs

Keywords

  • Aerial/airborne laser scanning
  • Automated/automatic building detection
  • Gaming
  • LiDAR (light detection and ranging)
  • Three-dimensional (3D) spatial data
  • Urban modeling

ASJC Scopus subject areas

  • Engineering(all)

Cite this

New advances in automated Urban modelling from airborne laser scanning data. / Laefer, Debra; Hinks, T.; Carr, H.; Truong-Hong, L.

In: Recent Patents on Engineering, Vol. 5, No. 3, 12.2011, p. 196-208.

Research output: Contribution to journalArticle

Laefer, Debra ; Hinks, T. ; Carr, H. ; Truong-Hong, L. / New advances in automated Urban modelling from airborne laser scanning data. In: Recent Patents on Engineering. 2011 ; Vol. 5, No. 3. pp. 196-208.
@article{426daaebf7824337a8659ee9192b5b2b,
title = "New advances in automated Urban modelling from airborne laser scanning data",
abstract = "Traditionally, urban models in many applications such as urban planning, disaster management, and computer games only require visual accuracy. However, more recently, updating urban infrastructure combined with the rise of mega-cities (i.e. those with populations over ten million) has motivated researchers and users to utilize city-scale models for engineering purposes (e.g. tracking pollution monitoring, optimizing solar panel placement), which necessitates high geometric accuracy. Currently, a major bottleneck lies in the cost of generating accurate, geo-spatially referenced models. This paper presents the evolution of some of the efforts to automatically produce such models. Specifically, recent advances in airborne laser scanning can rapidly acquire accurate, spatial data for large geographic areas in hours, but due to the size of the data sets, coupled with difficulties of capturing and portraying complex structures, many post-processing issues have only recently been addressed to a level sufficient to begin to facilitate automation, especially of building surface reconstruction. Automation is a critical step for further processing and utilization of airborne laser scanned data for engineering-based, urban modeling. This paper presents recent development of the methods for building detection and extraction, with an emphasis on patents and other contributions related to automated processing of airborne laser scanning data.",
keywords = "Aerial/airborne laser scanning, Automated/automatic building detection, Gaming, LiDAR (light detection and ranging), Three-dimensional (3D) spatial data, Urban modeling",
author = "Debra Laefer and T. Hinks and H. Carr and L. Truong-Hong",
year = "2011",
month = "12",
doi = "10.2174/187221211797636890",
language = "English (US)",
volume = "5",
pages = "196--208",
journal = "Recent Patents on Engineering",
issn = "1872-2121",
publisher = "Bentham Science Publishers B.V.",
number = "3",

}

TY - JOUR

T1 - New advances in automated Urban modelling from airborne laser scanning data

AU - Laefer, Debra

AU - Hinks, T.

AU - Carr, H.

AU - Truong-Hong, L.

PY - 2011/12

Y1 - 2011/12

N2 - Traditionally, urban models in many applications such as urban planning, disaster management, and computer games only require visual accuracy. However, more recently, updating urban infrastructure combined with the rise of mega-cities (i.e. those with populations over ten million) has motivated researchers and users to utilize city-scale models for engineering purposes (e.g. tracking pollution monitoring, optimizing solar panel placement), which necessitates high geometric accuracy. Currently, a major bottleneck lies in the cost of generating accurate, geo-spatially referenced models. This paper presents the evolution of some of the efforts to automatically produce such models. Specifically, recent advances in airborne laser scanning can rapidly acquire accurate, spatial data for large geographic areas in hours, but due to the size of the data sets, coupled with difficulties of capturing and portraying complex structures, many post-processing issues have only recently been addressed to a level sufficient to begin to facilitate automation, especially of building surface reconstruction. Automation is a critical step for further processing and utilization of airborne laser scanned data for engineering-based, urban modeling. This paper presents recent development of the methods for building detection and extraction, with an emphasis on patents and other contributions related to automated processing of airborne laser scanning data.

AB - Traditionally, urban models in many applications such as urban planning, disaster management, and computer games only require visual accuracy. However, more recently, updating urban infrastructure combined with the rise of mega-cities (i.e. those with populations over ten million) has motivated researchers and users to utilize city-scale models for engineering purposes (e.g. tracking pollution monitoring, optimizing solar panel placement), which necessitates high geometric accuracy. Currently, a major bottleneck lies in the cost of generating accurate, geo-spatially referenced models. This paper presents the evolution of some of the efforts to automatically produce such models. Specifically, recent advances in airborne laser scanning can rapidly acquire accurate, spatial data for large geographic areas in hours, but due to the size of the data sets, coupled with difficulties of capturing and portraying complex structures, many post-processing issues have only recently been addressed to a level sufficient to begin to facilitate automation, especially of building surface reconstruction. Automation is a critical step for further processing and utilization of airborne laser scanned data for engineering-based, urban modeling. This paper presents recent development of the methods for building detection and extraction, with an emphasis on patents and other contributions related to automated processing of airborne laser scanning data.

KW - Aerial/airborne laser scanning

KW - Automated/automatic building detection

KW - Gaming

KW - LiDAR (light detection and ranging)

KW - Three-dimensional (3D) spatial data

KW - Urban modeling

UR - http://www.scopus.com/inward/record.url?scp=80054102450&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80054102450&partnerID=8YFLogxK

U2 - 10.2174/187221211797636890

DO - 10.2174/187221211797636890

M3 - Article

AN - SCOPUS:80054102450

VL - 5

SP - 196

EP - 208

JO - Recent Patents on Engineering

JF - Recent Patents on Engineering

SN - 1872-2121

IS - 3

ER -