Reliability of Accuracy-Based Calibration in Quantifying Systematic Errors of Static LiDAR

Authors

  • Nur Nazura Abd Razak College of Built Environment, Universiti Teknologi MARA, Perlis Branch, Arau Campus, 02600 Arau, Perlis, Malaysia
  • Mohd Azwan Abbas College of Built Environment, Universiti Teknologi MARA, Perlis Branch, Arau Campus, 02600 Arau, Perlis, Malaysia
  • Muhammad Aliff Haikal Kamarruzzaman College of Built Environment, Universiti Teknologi MARA, Perlis Branch, Arau Campus, 02600 Arau, Perlis, Malaysia
  • Hery Purwanto Teknik Geodesi ITN Malang Jl. Bendungan Sigura-gura No.2 Malang, Indonesia
  • Norshahrizan Mohd Hashim College of Built Environment, Universiti Teknologi MARA, Perlis Branch, Arau Campus, 02600 Arau, Perlis, Malaysia
  • Mohamad Asrul Mustafar College of Built Environment, Universiti Teknologi MARA, Perlis Branch, Arau Campus, 02600 Arau, Perlis, Malaysia

DOI:

https://doi.org/10.21834/e-bpj.v9i30.6235

Keywords:

TLS self-calibration, Close-range photogrammetry, Point-based constraint, Line-based constraint

Abstract

The calibration of terrestrial laser scanners (TLSs) is crucial for ensuring high-quality 3D data. While system calibration often relies on precision-based methods without reference points, this study explores accuracy-based approaches incorporating reference values. TLS self-calibration was performed using point-based and line-based constraints with reference points established through close-range photogrammetry (CRP). The evaluation assessed calibration parameters (CPs), standard deviation, residuals, and correlation coefficient. Results show that the line-based approach improved accuracy by up to 60%, whereas the point-based method exhibited significant deviations. Consequently, while accuracy-based approaches can enhance TLS self-calibration, the line-based constraint is notably more effective.

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Published

2024-10-31

How to Cite

Abd Razak, N. N., Abbas, M. A., Kamarruzzaman, M. A. H., Purwanto, H., Mohd Hashim, N., & Mustafar, M. A. (2024). Reliability of Accuracy-Based Calibration in Quantifying Systematic Errors of Static LiDAR. Environment-Behaviour Proceedings Journal, 9(30), 127–136. https://doi.org/10.21834/e-bpj.v9i30.6235