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

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 perform...

詳細記述

書誌詳細
出版年:ENVIRONMENT-BEHAVIOUR PROCEEDINGS JOURNAL
主要な著者: Abd Razak, Nur Nazura; Abbas, Mohd Azwan; Kamarruzzaman, Muhammad Aliff Haikal; Purwant, Hery; Hashim, Norshahrizan Mohd; Mustafar, Mohamad Asrul
フォーマット: Proceedings Paper
言語:English
出版事項: E-IPH LTD UK 2024
主題:
オンライン・アクセス:https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001408340600014
その他の書誌記述
要約: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.
ISSN:2398-4287
DOI:10.21834/e-bpj.v9i30.6235