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 journalConference articleResearchpeer-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 languageEnglish
JournalI S P R S Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume2
Pages (from-to)29-34
ISSN2194-9042
DOIs
Publication statusPublished - 2015
EventJoint International Geoinformation Conference 2015 - Kuala Lumpur, Malaysia
Duration: 28 Oct 201530 Oct 2015
http://www.geoinfo.utm.my/jointgeoinfo2015/index.html

Conference

ConferenceJoint International Geoinformation Conference 2015
CountryMalaysia
CityKuala Lumpur
Period28/10/201530/10/2015
Internet address

Bibliographical note

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

Keywords

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

Cite this

Jamali, Ali ; Anton, François ; Rahman, Alias Abdul ; Boguslawski, Pawel ; Gold, Christopher M. / 3D Indoor Building Environment Reconstruction using calibration of Range finder Data. In: I S P R S Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2015 ; Vol. 2. pp. 29-34.
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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.",
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3D Indoor Building Environment Reconstruction using calibration of Range finder Data. / Jamali, Ali; Anton, François; Rahman, Alias Abdul; Boguslawski, Pawel; Gold, Christopher M.

In: I S P R S Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 2, 2015, p. 29-34.

Research output: Contribution to journalConference articleResearchpeer-review

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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

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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.

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

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