Terrestrial laser scanner geometric error model parameter correlations in the Two-face, Length-consistency, and Network methods of self-calibration

2018 ◽  
Vol 52 ◽  
pp. 15-29 ◽  
Author(s):  
Bala Muralikrishnan ◽  
Ling Wang ◽  
Prem Rachakonda ◽  
Daniel Sawyer
Keyword(s):  
Laser Scanner ◽  
Geometric Error ◽  
Error Model ◽  
Terrestrial Laser Scanner ◽  
Model Parameter ◽  
Self Calibration ◽  
Network Methods ◽  
Face Length

scholarly journals Lab-built terrestrial laser scanner self-calibration using mounting angle error correction

2018 ◽  
Vol 26 (11) ◽  
pp. 14444 ◽  
Author(s):  
Xiaolu Li ◽  
Yunye Li ◽  
Xinhao Xie ◽  
Lijun Xu
Keyword(s):  
Error Correction ◽  
Laser Scanner ◽  
Terrestrial Laser Scanner ◽  
Angle Error ◽  
Self Calibration

Volumetric performance evaluation of a laser scanner based on geometric error model

2015 ◽  
Vol 40 ◽  
pp. 139-150 ◽  
Author(s):  
B. Muralikrishnan ◽  
M. Ferrucci ◽  
D. Sawyer ◽  
G. Gerner ◽  
V. Lee ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Laser Scanner ◽  
Geometric Error ◽  
Error Model

An on-site approach for the self-calibration of terrestrial laser scanner

Measurement ◽  
2014 ◽  
Vol 52 ◽  
pp. 111-123 ◽  
Author(s):  
Mohd Azwan Abbas ◽  
Derek D. Lichti ◽  
Albert K. Chong ◽  
Halim Setan ◽  
Zulkepli Majid
Keyword(s):  
Laser Scanner ◽  
The Self ◽  
Terrestrial Laser Scanner ◽  
Self Calibration

Terrestrial Laser Scanner Autonomous Self-Calibration With No Prior Knowledge of Point-Clouds

2018 ◽  
Vol 18 (22) ◽  
pp. 9277-9285 ◽  
Author(s):  
Xiaolu Li ◽  
Yunye Li ◽  
Xinhao Xie ◽  
Lijun Xu
Keyword(s):  
Prior Knowledge ◽  
Laser Scanner ◽  
Point Clouds ◽  
Terrestrial Laser Scanner ◽  
Self Calibration

INVESTIGATION OF DATUM CONSTRAINTS EFFECT IN TERRESTRIAL LASER SCANNER SELF-CALIBRATION

2015 ◽  
Vol 75 (10) ◽  
Author(s):  
Mohd Azwan Abbas ◽  
Halim Setan ◽  
Zulkepli Majid ◽  
Albert K. Chong ◽  
Lau Chong Luh ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Laser Scanner ◽  
Terrestrial Laser Scanner ◽  
Network Configuration ◽  
Self Calibration ◽  
3D Data ◽  
Minimum Number ◽  
3D Applications

The ability to provide rapid and dense three-dimensional (3D) data have made many 3D applications easier. However, similar to other optical and electronic instruments, data from TLS can also be impaired with errors. Self-calibration is a method available to investigate those errors in TLS observations which has been adopted from photogrammetry technique. Though, the network configuration applied by both TLS and photogrammetry techniques are quite different. Thus, further investigation is required to verify whether the photogrammetry principal regarding datum constraints selection is applicable to TLS self-calibration. To ensure that the assessment is thoroughly done, the datum constraints analyses were carried out using three variant network configurations: 1) minimum number of scan stations, 2) minimum number of surfaces for targets distribution, and 3) minimum number of point targets. Via graphical and statistical, the analyses of datum constraints selection have indicated that the parameter correlations obtained are significantly similar.  

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