Improvement in Accuracy for Three-Dimensional Sensor (Faro Photon 120 Scanner)
The ability to provide actual information and attractive presentation, three-dimensional (3D) information has been widely used for many purposes especially for documentation, management and analysis. As a non-contact 3D sensor, terrestrial laser scanners (TLSs) have the capability to provide dense of 3D data (point clouds) with speed and accuracy. However, similar to other optical and electronic sensors, data obtained from TLSs can be impaired by errors coming from different sources. In order to ensure the high quality of the data, a calibration routine is crucial for TLSs to make it suitable for accurate 3D applications (e.g. industrial measurement, reverse engineering and monitoring). There are two calibration approaches available: 1) component, and 2) system calibration. Due to the requirement of special laboratories and tools to perform component calibration, the task cannot be carried out by most TLSs users. In contrast, system calibration only requires a room with appropriate targets. Through self-calibration, this study involved a system calibration for Faro Photon 120 scanner in a laboratory with dimensions of 15.5m x 9m x 3m and 138 well-distributed planar targets. Four calibration parameters were derived from well-known error sources of geodetic instruments. Data obtained using seven scan stations were processed, and statistical analysis (e.g. t-test) shows that all error models, the constant error (8.9mm), the collimation axis error (-4.3”), the trunnion axis error (-11.6”) and the vertical circle index error (8.0”) were significant for the calibrated 3D sensor.
Keywords: 3D sensor, terrestrial laser scanner, accuracy, systematic errors, self-calibration.
Download Full-Text
ABOUT THE AUTHORS
Mohd Azwan Abbas
PhD student at Department of Geomatic Engineering, Universiti Teknologi Malaysia. He received the B.Sc. (2004) And M.Sc. (2006) in Geomatic Engineering from Universiti Teknologi Malaysia. His current interests include the calibration and 3D modeling using terrestrial laser scanner.
Halim Setan
Professor at Department of Geomatic Engineering, Universiti Teknologi Malaysia. He received M.Sc. (1988) in Geodetic Science from The Ohio State University, Columbus, USA and Ph.D. (1995) in Engineering Surveying from The City University, London, England. His current interests include the use of optical and range sensors for 3D reconstruction.
Zulkepli Majid
Senior Lecturer at Department of Geomatic Engineering, Universiti Teknologi Malaysia. He received the M.Sc (1998), B.Sc. (2004) And Ph.D. (2006) in geomatic engineering from Universiti Teknologi Malaysia. His current interests include the use of optical and range sensors for 3D reconstruction.
Albert K. Chong
Senior Lecturer at Department of Geomatic Engineering, University of Southern Queensland, Australia. He received the Ph.D. (1986) from University of Washington. His primary research focus is on the use of optical and range imagery for automated 3D object reconstruction.
Lau Chong Luh
PhD student at Department of Geomatic Engineering, Universiti Teknologi Malaysia. He received the B.Sc. (2012) in Geomatic Engineering from Universiti Teknologi Malaysia. His current interests include the use of terrestrial laser scanner for 3D topography.
Mohd Farid Mohd Ariff
Senior Lecturer at Department of Geomatic Engineering, Universiti Teknologi Malaysia. He received the M.Sc (2005), B.Sc. (2002) And Ph.D. (2012) in geomatic engineering from Universiti Teknologi Malaysia. His current interests include the calibration and 3D reconstruction using photogrammetry technique.
Khairulnizam M. Idris
Senior Lecturer at Department of Geomatic Engineering, Universiti Teknologi Malaysia. He received the M.Sc (2003), B.Sc. (2001) And Ph.D. (2011) in geomatic engineering from Universiti Teknologi Malaysia. His current interests include the 3D mapping via unmanned aerial vehicle and spatial adjustment.
Mohd Azwan Abbas
PhD student at Department of Geomatic Engineering, Universiti Teknologi Malaysia. He received the B.Sc. (2004) And M.Sc. (2006) in Geomatic Engineering from Universiti Teknologi Malaysia. His current interests include the calibration and 3D modeling using terrestrial laser scanner.
Halim Setan
Professor at Department of Geomatic Engineering, Universiti Teknologi Malaysia. He received M.Sc. (1988) in Geodetic Science from The Ohio State University, Columbus, USA and Ph.D. (1995) in Engineering Surveying from The City University, London, England. His current interests include the use of optical and range sensors for 3D reconstruction.
Zulkepli Majid
Senior Lecturer at Department of Geomatic Engineering, Universiti Teknologi Malaysia. He received the M.Sc (1998), B.Sc. (2004) And Ph.D. (2006) in geomatic engineering from Universiti Teknologi Malaysia. His current interests include the use of optical and range sensors for 3D reconstruction.
Albert K. Chong
Senior Lecturer at Department of Geomatic Engineering, University of Southern Queensland, Australia. He received the Ph.D. (1986) from University of Washington. His primary research focus is on the use of optical and range imagery for automated 3D object reconstruction.
Lau Chong Luh
PhD student at Department of Geomatic Engineering, Universiti Teknologi Malaysia. He received the B.Sc. (2012) in Geomatic Engineering from Universiti Teknologi Malaysia. His current interests include the use of terrestrial laser scanner for 3D topography.
Mohd Farid Mohd Ariff
Senior Lecturer at Department of Geomatic Engineering, Universiti Teknologi Malaysia. He received the M.Sc (2005), B.Sc. (2002) And Ph.D. (2012) in geomatic engineering from Universiti Teknologi Malaysia. His current interests include the calibration and 3D reconstruction using photogrammetry technique.
Khairulnizam M. Idris
Senior Lecturer at Department of Geomatic Engineering, Universiti Teknologi Malaysia. He received the M.Sc (2003), B.Sc. (2001) And Ph.D. (2011) in geomatic engineering from Universiti Teknologi Malaysia. His current interests include the 3D mapping via unmanned aerial vehicle and spatial adjustment.
