Imperial College London
Alternate

DrShaojunFeng

Faculty of Engineering, Department of Civil and Environmental Engineering

Honorary Principal Research Fellow
 
 
 
//

Contact

 

s.feng

 
 
//

Location

 

618Skempton BuildingSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Mao:2015:10.3390/rs70607402,
author = {Mao, Q and Zhang, L and Li, Q and Hu, Q and Yu, J and Feng, S and Ochieng, W and Gong, H},
doi = {10.3390/rs70607402},
journal = {Remote Sensing},
pages = {7402--7424},
title = {A Least Squares Collocation Method for Accuracy Improvement of Mobile LiDAR Systems},
url = {http://dx.doi.org/10.3390/rs70607402},
volume = {7},
year = {2015}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - In environments that are hostile to Global Navigation Satellites Systems (GNSS), the precision achieved by a mobile light detection and ranging (LiDAR) system (MLS) can deteriorate into the sub-meter or even the meter range due to errors in the positioning and orientation system (POS). This paper proposes a novel least squares collocation (LSC)-based method to improve the accuracy of the MLS in these hostile environments. Through a thorough consideration of the characteristics of POS errors, the proposed LSC-based method effectively corrects these errors using LiDAR control points, thereby improving the accuracy of the MLS. This method is also applied to the calibration of misalignment between the laser scanner and the POS. Several datasets from different scenarios have been adopted in order to evaluate the effectiveness of the proposed method. The results from experiments indicate that this method would represent a significant improvement in terms of the accuracy of the MLS in environments that are essentially hostile to GNSS and is also effective regarding the calibration of misalignment.
AU  - Mao,Q
AU  - Zhang,L
AU  - Li,Q
AU  - Hu,Q
AU  - Yu,J
AU  - Feng,S
AU  - Ochieng,W
AU  - Gong,H
DO  - 10.3390/rs70607402
EP  - 7424
PY  - 2015///
SN  - 2072-4292
SP  - 7402
TI  - A Least Squares Collocation Method for Accuracy Improvement of Mobile LiDAR Systems
T2  - Remote Sensing
UR  - http://dx.doi.org/10.3390/rs70607402
UR  - http://hdl.handle.net/10044/1/40265
VL  - 7
ER  -
Download