UNCERTAINTY PROPAGATION FOR TERRESTRIAL MOBILE LASER SCANNER

Laser scanners are used more and more in mobile mapping systems. They provide 3D point clouds that are used for object reconstruction and registration of the system. For both of those applications, uncertainty analysis of 3D points is of great interest but rarely investigated in the literature. In...

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Main Authors: C. Mezian, B. Vallet, B. Soheilian, N. Paparoditis
Format: Article
Language:English
Published: Copernicus Publications 2016-06-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B3/331/2016/isprs-archives-XLI-B3-331-2016.pdf
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author C. Mezian
B. Vallet
B. Soheilian
N. Paparoditis
author_facet C. Mezian
B. Vallet
B. Soheilian
N. Paparoditis
author_sort C. Mezian
collection DOAJ
description Laser scanners are used more and more in mobile mapping systems. They provide 3D point clouds that are used for object reconstruction and registration of the system. For both of those applications, uncertainty analysis of 3D points is of great interest but rarely investigated in the literature. In this paper we present a complete pipeline that takes into account all the sources of uncertainties and allows to compute a covariance matrix per 3D point. The sources of uncertainties are laser scanner, calibration of the scanner in relation to the vehicle and direct georeferencing system. We suppose that all the uncertainties follow the Gaussian law. The variances of the laser scanner measurements (two angles and one distance) are usually evaluated by the constructors. This is also the case for integrated direct georeferencing devices. Residuals of the calibration process were used to estimate the covariance matrix of the 6D transformation between scanner laser and the vehicle system. Knowing the variances of all sources of uncertainties, we applied uncertainty propagation technique to compute the variance-covariance matrix of every obtained 3D point. Such an uncertainty analysis enables to estimate the impact of different laser scanners and georeferencing devices on the quality of obtained 3D points. The obtained uncertainty values were illustrated using error ellipsoids on different datasets.
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spelling doaj.art-2ea9ec34482d4a0cb2a4160898a1d7502022-12-21T18:22:58ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342016-06-01XLI-B333133510.5194/isprs-archives-XLI-B3-331-2016UNCERTAINTY PROPAGATION FOR TERRESTRIAL MOBILE LASER SCANNERC. Mezian0B. Vallet1B. Soheilian2N. Paparoditis3Universite Paris-Est, IGN, SRIG, MATIS, 73 avenue de Paris, 94160 Saint Mande, FranceUniversite Paris-Est, IGN, SRIG, MATIS, 73 avenue de Paris, 94160 Saint Mande, FranceUniversite Paris-Est, IGN, SRIG, MATIS, 73 avenue de Paris, 94160 Saint Mande, FranceUniversite Paris-Est, IGN, SRIG, MATIS, 73 avenue de Paris, 94160 Saint Mande, FranceLaser scanners are used more and more in mobile mapping systems. They provide 3D point clouds that are used for object reconstruction and registration of the system. For both of those applications, uncertainty analysis of 3D points is of great interest but rarely investigated in the literature. In this paper we present a complete pipeline that takes into account all the sources of uncertainties and allows to compute a covariance matrix per 3D point. The sources of uncertainties are laser scanner, calibration of the scanner in relation to the vehicle and direct georeferencing system. We suppose that all the uncertainties follow the Gaussian law. The variances of the laser scanner measurements (two angles and one distance) are usually evaluated by the constructors. This is also the case for integrated direct georeferencing devices. Residuals of the calibration process were used to estimate the covariance matrix of the 6D transformation between scanner laser and the vehicle system. Knowing the variances of all sources of uncertainties, we applied uncertainty propagation technique to compute the variance-covariance matrix of every obtained 3D point. Such an uncertainty analysis enables to estimate the impact of different laser scanners and georeferencing devices on the quality of obtained 3D points. The obtained uncertainty values were illustrated using error ellipsoids on different datasets.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B3/331/2016/isprs-archives-XLI-B3-331-2016.pdf
spellingShingle C. Mezian
B. Vallet
B. Soheilian
N. Paparoditis
UNCERTAINTY PROPAGATION FOR TERRESTRIAL MOBILE LASER SCANNER
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title UNCERTAINTY PROPAGATION FOR TERRESTRIAL MOBILE LASER SCANNER
title_full UNCERTAINTY PROPAGATION FOR TERRESTRIAL MOBILE LASER SCANNER
title_fullStr UNCERTAINTY PROPAGATION FOR TERRESTRIAL MOBILE LASER SCANNER
title_full_unstemmed UNCERTAINTY PROPAGATION FOR TERRESTRIAL MOBILE LASER SCANNER
title_short UNCERTAINTY PROPAGATION FOR TERRESTRIAL MOBILE LASER SCANNER
title_sort uncertainty propagation for terrestrial mobile laser scanner
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B3/331/2016/isprs-archives-XLI-B3-331-2016.pdf
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AT bvallet uncertaintypropagationforterrestrialmobilelaserscanner
AT bsoheilian uncertaintypropagationforterrestrialmobilelaserscanner
AT npaparoditis uncertaintypropagationforterrestrialmobilelaserscanner