An Automatic Procedure For Mobile Laser Scanning Platform 6DOF Trajectory Adjustment

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Abstract

In this paper, a method is presented to improve the MLS platform’s trajectory for GNSS denied areas. The method comprises two major steps. The first step is based on a 2D image registration technique described in our previous publication. Internally, this registration technique first performs aerial to aerial image matching, this issues correspondences which enable to compute the 3D tie points by multiview triangulation. Similarly, it registers the rasterized Mobile Laser Scanning Point Cloud (MLSPC) patches with the multiple related aerial image patches. The later registration provides the correspondence between the aerial to aerial tie points and the MLSPC’s 3D points. In the second step, which is described in this paper, a procedure utilizes three kinds of observations to improve the MLS platform’s trajectory. The first type of observation is the set of 3D tie points computed automatically in the previous step (and are already available), the second type of observation is based on IMU readings and the third type of observation is soft-constraint over related pose parameters. In this situation, the 3D tie points are considered accurate and precise observations, since they provide both locally and globally strict constraints, whereas the IMU observations and soft-constraints only provide locally precise constraints. For 6DOF trajectory representation, first, the pose [R, t] parameters are converted to 6 B-spline functions over time. Then for the trajectory adjustment, the coefficients of B-splines are updated from the established observations. We tested our method on an MLS data set acquired at a test area in Rotterdam, and verified the trajectory improvement by evaluation with independently and manually measured GCPs. After the adjustment, the trajectory has achieved the accuracy of RMSE X=9cm, Y=14cm and Z=14cm. Analysing the error in the updated trajectory suggests that our procedure is effective at adjusting the 6DOF trajectory and to regenerate a reliable MLSPC product.
Original languageEnglish
Title of host publication2018 ISPRS TC I Mid-term Symposium “Innovative Sensing – From Sensors to Methods and Applications”, 10–12 October 2018, Karlsruhe, Germany
EditorsB. Jutzi, M. Weinmann, S. Hinz
Place of PublicationKarlsruhe
PublisherInternational Society for Photogrammetry and Remote Sensing (ISPRS)
Pages203-209
Number of pages7
VolumeXLII-1
DOIs
Publication statusPublished - 26 Sep 2018

Publication series

NameThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
PublisherISPRS
VolumeVolume XLII-1

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laser
trajectory
GNSS
triangulation
method

Keywords

  • ITC-GOLD

Cite this

Hussnain, S. Z., Oude Elberink, S. J., & Vosselman, G. (2018). An Automatic Procedure For Mobile Laser Scanning Platform 6DOF Trajectory Adjustment. In B. Jutzi, M. Weinmann, & S. Hinz (Eds.), 2018 ISPRS TC I Mid-term Symposium “Innovative Sensing – From Sensors to Methods and Applications”, 10–12 October 2018, Karlsruhe, Germany (Vol. XLII-1, pp. 203-209). (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Vol. Volume XLII-1). Karlsruhe: International Society for Photogrammetry and Remote Sensing (ISPRS). https://doi.org/10.5194/isprs-archives-XLII-1-203-2018
Hussnain, S.Z. ; Oude Elberink, S.J. ; Vosselman, G. / An Automatic Procedure For Mobile Laser Scanning Platform 6DOF Trajectory Adjustment. 2018 ISPRS TC I Mid-term Symposium “Innovative Sensing – From Sensors to Methods and Applications”, 10–12 October 2018, Karlsruhe, Germany. editor / B. Jutzi ; M. Weinmann ; S. Hinz. Vol. XLII-1 Karlsruhe : International Society for Photogrammetry and Remote Sensing (ISPRS), 2018. pp. 203-209 (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences).
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Hussnain, SZ, Oude Elberink, SJ & Vosselman, G 2018, An Automatic Procedure For Mobile Laser Scanning Platform 6DOF Trajectory Adjustment. in B Jutzi, M Weinmann & S Hinz (eds), 2018 ISPRS TC I Mid-term Symposium “Innovative Sensing – From Sensors to Methods and Applications”, 10–12 October 2018, Karlsruhe, Germany. vol. XLII-1, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. Volume XLII-1, International Society for Photogrammetry and Remote Sensing (ISPRS), Karlsruhe, pp. 203-209. https://doi.org/10.5194/isprs-archives-XLII-1-203-2018

An Automatic Procedure For Mobile Laser Scanning Platform 6DOF Trajectory Adjustment. / Hussnain, S.Z.; Oude Elberink, S.J.; Vosselman, G.

2018 ISPRS TC I Mid-term Symposium “Innovative Sensing – From Sensors to Methods and Applications”, 10–12 October 2018, Karlsruhe, Germany. ed. / B. Jutzi; M. Weinmann; S. Hinz. Vol. XLII-1 Karlsruhe : International Society for Photogrammetry and Remote Sensing (ISPRS), 2018. p. 203-209 (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Vol. Volume XLII-1).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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AB - In this paper, a method is presented to improve the MLS platform’s trajectory for GNSS denied areas. The method comprises two major steps. The first step is based on a 2D image registration technique described in our previous publication. Internally, this registration technique first performs aerial to aerial image matching, this issues correspondences which enable to compute the 3D tie points by multiview triangulation. Similarly, it registers the rasterized Mobile Laser Scanning Point Cloud (MLSPC) patches with the multiple related aerial image patches. The later registration provides the correspondence between the aerial to aerial tie points and the MLSPC’s 3D points. In the second step, which is described in this paper, a procedure utilizes three kinds of observations to improve the MLS platform’s trajectory. The first type of observation is the set of 3D tie points computed automatically in the previous step (and are already available), the second type of observation is based on IMU readings and the third type of observation is soft-constraint over related pose parameters. In this situation, the 3D tie points are considered accurate and precise observations, since they provide both locally and globally strict constraints, whereas the IMU observations and soft-constraints only provide locally precise constraints. For 6DOF trajectory representation, first, the pose [R, t] parameters are converted to 6 B-spline functions over time. Then for the trajectory adjustment, the coefficients of B-splines are updated from the established observations. We tested our method on an MLS data set acquired at a test area in Rotterdam, and verified the trajectory improvement by evaluation with independently and manually measured GCPs. After the adjustment, the trajectory has achieved the accuracy of RMSE X=9cm, Y=14cm and Z=14cm. Analysing the error in the updated trajectory suggests that our procedure is effective at adjusting the 6DOF trajectory and to regenerate a reliable MLSPC product.

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PB - International Society for Photogrammetry and Remote Sensing (ISPRS)

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Hussnain SZ, Oude Elberink SJ, Vosselman G. An Automatic Procedure For Mobile Laser Scanning Platform 6DOF Trajectory Adjustment. In Jutzi B, Weinmann M, Hinz S, editors, 2018 ISPRS TC I Mid-term Symposium “Innovative Sensing – From Sensors to Methods and Applications”, 10–12 October 2018, Karlsruhe, Germany. Vol. XLII-1. Karlsruhe: International Society for Photogrammetry and Remote Sensing (ISPRS). 2018. p. 203-209. (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences). https://doi.org/10.5194/isprs-archives-XLII-1-203-2018