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A Framework Based on Reference Data with Superordinate Accuracy for the Quality Analysis of Terrestrial Laser

Ulrich Stenz1, Jens Hartmann2, Jens-André Paffenholz3

  • 1Geodetic Institute, Leibniz Universität Hannover, Nienburger Str. 1, 30167 Hannover, Germany. stenz@gih.uni-hannover.de.

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Summary

Terrestrial laser scanning (TLS) and multi-sensor systems (MSS) efficiency is validated by backward modeling uncertainty. This ensures high accuracy for engineering geodesy applications requiring millimeter-level precision.

Keywords:
TLSaccuracybackward modellingcalibrationlaser trackermulti-sensor-systemsquality analysis

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Area of Science:

  • Geomatics
  • Geodesy
  • Remote Sensing

Background:

  • Terrestrial laser scanning (TLS) offers efficient large-scale data collection.
  • Combining TLS with other sensors in a multi-sensor system (MSS) further enhances efficiency.
  • Point uncertainty in TLS data is variable, influenced by numerous factors.

Purpose of the Study:

  • To present methods, infrastructure, and results for validating TLS and TLS-based MSS suitability.
  • To establish backward modeling of uncertainty using high-accuracy reference data.
  • To detail the calibration process for integrating laser scanner and laser tracker data.

Main Methods:

  • Backward modeling of point uncertainty based on reference data with superior accuracy (factor of 10 better).
  • Development of a suitable environment and infrastructure for validation.
  • Calibration of targets for high-accuracy registration of laser scanner and laser tracker data in a common coordinate system.

Main Results:

  • Demonstrated methods and infrastructure for validating TLS and TLS-based MSS.
  • Quantified uncertainty in scanned points considering various influencing factors.
  • Achieved high-accuracy registration essential for engineering geodesy.

Conclusions:

  • The presented validation approach is suitable for assessing TLS and TLS-based MSS.
  • Backward uncertainty modeling with superordinate accuracy is crucial for reliable data.
  • The methods support engineering geodesy applications demanding high precision (sub-millimeter).