Open AccessTerrestrial Laser Scanner Self-Calibration: Quantitative Evaluation of Minimum Network Configuration
Author(s) -
Suzila Mat Salleh,
Mohamad Aizat Asyraff Mohamad Azmi,
Mohamed Yusoff Abbas,
Mohamad Asrul Mustafar,
Nurhanisah Hashim,
Saiful Aman Sulaiman,
C S Salleh
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/620/1/012001
Subject(s) - calibration , reliability (semiconductor) , computer science , feature (linguistics) , point (geometry) , scanner , ellipse , dimension (graph theory) , reliability engineering , data mining , artificial intelligence , statistics , mathematics , engineering , geometry , power (physics) , physics , linguistics , philosophy , quantum mechanics , pure mathematics
Two approaches available for performing self-calibration are: 1) point-based and 2) feature-based. The reliance on planes in the feature-based approach is a restriction to the aim of finding a suitable approach for on-site calibration. Also, the requirement for a strong network configuration in point-based self-calibration has made it difficult to implement on-site. The aim of this study was to investigate the suitability of lowering the network configuration requirements. Investigations of minimum network configurations were carried out by analysing minimum dimension of real-world plane on which targets are distributed. Through network analysis, standard deviation and plotted error ellipses will be used to determine the reliability of each configuration during minimising network experiment. The outcomes of this study will benefit to TLS practitioner to ensure that the employed instrument reliable to yield quality data.