3D Indoor Building Environment Reconstruction using calibration of Range finder Data

Ali Jamali; François Anton; Alias Abdul Rahman; Pawel Boguslawski; Christopher M. Gold

doi:10.5194/isprsannals-II-2-W2-29-2015

3D Indoor Building Environment Reconstruction using calibration of Range finder Data

Ali Jamali
, François Anton
, Alias Abdul Rahman
, Pawel Boguslawski
, Christopher M. Gold

Research output: Contribution to journal › Conference article › Research › peer-review

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Abstract

Nowadays, municipalities intend to have 3D city models for facility management, disaster management and architectural planning. 3D data acquisition can be done by laser scanning for indoor environment which is a costly and time consuming process. Currently, for indoor surveying, Electronic Distance Measurement (EDM) and Terrestrial Laser Scanner (TLS) are mostly used. In this paper, several techniques for indoor 3D building data acquisition have been investigated. For reducing the time and cost of indoor building data acquisition process, the Trimble LaserAce 1000 range finder is used. The accuracy of the rangefinder is evaluated and a simple spatial model is reconstructed from real data. This technique is rapid (it requires a shorter time as compared to others), but the results show inconsistencies in horizontal angles for short distances in indoor environments. The range finder was calibrated using a least square adjustment algorithm. To control the uncertainty of the calibration and of the reconstruction of the building from the measurements, interval analysis and homotopy continuation are used.

Original language	English
Journal	I S P R S Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume	2
Pages (from-to)	29-34
ISSN	2194-9042
DOIs	https://doi.org/10.5194/isprsannals-II-2-W2-29-2015
Publication status	Published - 2015
Event	Joint International Geoinformation Conference 2015 - Kuala Lumpur, Malaysia Duration: 28 Oct 2015 → 30 Oct 2015 http://www.geoinfo.utm.my/jointgeoinfo2015/index.html

Conference

Conference	Joint International Geoinformation Conference 2015
Country/Territory	Malaysia
City	Kuala Lumpur
Period	28/10/2015 → 30/10/2015
Internet address	http://www.geoinfo.utm.my/jointgeoinfo2015/index.html

Bibliographical note

The Annals are open access publications, they are published under the Creative Common Attribution 3.0 License

UN SDGs

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

SDG 11 Sustainable Cities and Communities

Keywords

Indoor surveying
Least square adjustment
Interval analysis
Laser scanning
Calibration
Homotopy continuation

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10.5194/isprsannals-II-2-W2-29-2015

Isprsannals II 2 W2 29 2015Final published version, 1.31 MB

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Cite this

@inproceedings{bc747b10937d42c6899f4f580e25237a,

title = "3D Indoor Building Environment Reconstruction using calibration of Range finder Data",

abstract = "Nowadays, municipalities intend to have 3D city models for facility management, disaster management and architectural planning. 3D data acquisition can be done by laser scanning for indoor environment which is a costly and time consuming process. Currently, for indoor surveying, Electronic Distance Measurement (EDM) and Terrestrial Laser Scanner (TLS) are mostly used. In this paper, several techniques for indoor 3D building data acquisition have been investigated. For reducing the time and cost of indoor building data acquisition process, the Trimble LaserAce 1000 range finder is used. The accuracy of the rangefinder is evaluated and a simple spatial model is reconstructed from real data. This technique is rapid (it requires a shorter time as compared to others), but the results show inconsistencies in horizontal angles for short distances in indoor environments. The range finder was calibrated using a least square adjustment algorithm. To control the uncertainty of the calibration and of the reconstruction of the building from the measurements, interval analysis and homotopy continuation are used.",

keywords = "Indoor surveying, Least square adjustment, Interval analysis, Laser scanning, Calibration, Homotopy continuation",

author = "Ali Jamali and Fran{\c c}ois Anton and Rahman, \{Alias Abdul\} and Pawel Boguslawski and Gold, \{Christopher M.\}",

note = "The Annals are open access publications, they are published under the Creative Common Attribution 3.0 License; Joint International Geoinformation Conference 2015 ; Conference date: 28-10-2015 Through 30-10-2015",

year = "2015",

doi = "10.5194/isprsannals-II-2-W2-29-2015",

language = "English",

volume = "2",

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journal = "I S P R S Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences",

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T1 - 3D Indoor Building Environment Reconstruction using calibration of Range finder Data

AU - Jamali, Ali

AU - Anton, François

AU - Rahman, Alias Abdul

AU - Boguslawski, Pawel

AU - Gold, Christopher M.

N1 - The Annals are open access publications, they are published under the Creative Common Attribution 3.0 License

PY - 2015

Y1 - 2015

N2 - Nowadays, municipalities intend to have 3D city models for facility management, disaster management and architectural planning. 3D data acquisition can be done by laser scanning for indoor environment which is a costly and time consuming process. Currently, for indoor surveying, Electronic Distance Measurement (EDM) and Terrestrial Laser Scanner (TLS) are mostly used. In this paper, several techniques for indoor 3D building data acquisition have been investigated. For reducing the time and cost of indoor building data acquisition process, the Trimble LaserAce 1000 range finder is used. The accuracy of the rangefinder is evaluated and a simple spatial model is reconstructed from real data. This technique is rapid (it requires a shorter time as compared to others), but the results show inconsistencies in horizontal angles for short distances in indoor environments. The range finder was calibrated using a least square adjustment algorithm. To control the uncertainty of the calibration and of the reconstruction of the building from the measurements, interval analysis and homotopy continuation are used.

AB - Nowadays, municipalities intend to have 3D city models for facility management, disaster management and architectural planning. 3D data acquisition can be done by laser scanning for indoor environment which is a costly and time consuming process. Currently, for indoor surveying, Electronic Distance Measurement (EDM) and Terrestrial Laser Scanner (TLS) are mostly used. In this paper, several techniques for indoor 3D building data acquisition have been investigated. For reducing the time and cost of indoor building data acquisition process, the Trimble LaserAce 1000 range finder is used. The accuracy of the rangefinder is evaluated and a simple spatial model is reconstructed from real data. This technique is rapid (it requires a shorter time as compared to others), but the results show inconsistencies in horizontal angles for short distances in indoor environments. The range finder was calibrated using a least square adjustment algorithm. To control the uncertainty of the calibration and of the reconstruction of the building from the measurements, interval analysis and homotopy continuation are used.

KW - Indoor surveying

KW - Least square adjustment

KW - Interval analysis

KW - Laser scanning

KW - Calibration

KW - Homotopy continuation

U2 - 10.5194/isprsannals-II-2-W2-29-2015

DO - 10.5194/isprsannals-II-2-W2-29-2015

M3 - Conference article

SN - 2194-9042

VL - 2

SP - 29

EP - 34

JO - I S P R S Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

JF - I S P R S Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

T2 - Joint International Geoinformation Conference 2015

Y2 - 28 October 2015 through 30 October 2015

ER -

3D Indoor Building Environment Reconstruction using calibration of Range finder Data

Abstract

Conference

Bibliographical note

UN SDGs

Keywords

Access to Document

OpenUrl availability

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Cite this