TY - GEN
T1 - Efficient processing algorithm for large 3D scan dataset of NATM tunnels
AU - Won, M.
AU - Cho, D.
AU - Cho, H.
AU - Kang, K.
AU - Heo, I.
PY - 2012
Y1 - 2012
N2 - Tunnel surveying requires fast and accurate data processing because a tunnel excavation pattern and its work sequences are dependent on the surveying result in the field. While a total station is widely used for measuring reference points in tunnel projects, the data from the total station are too limited in implementing some of the functions required for project control. Recently, 3D laser scanners have been tested in some tunnel projects, because they generate high-density data within several minutes. On the other hand, software development to facilitate processing the resulting large dataset is essential for its wide adoption on tunnel projects. We propose efficient data processing algorithms to accelerate continuous data processing and to facilitate downsizing data points, considering the characteristics of tunnel projects using The New Austrian Tunneling Method.
AB - Tunnel surveying requires fast and accurate data processing because a tunnel excavation pattern and its work sequences are dependent on the surveying result in the field. While a total station is widely used for measuring reference points in tunnel projects, the data from the total station are too limited in implementing some of the functions required for project control. Recently, 3D laser scanners have been tested in some tunnel projects, because they generate high-density data within several minutes. On the other hand, software development to facilitate processing the resulting large dataset is essential for its wide adoption on tunnel projects. We propose efficient data processing algorithms to accelerate continuous data processing and to facilitate downsizing data points, considering the characteristics of tunnel projects using The New Austrian Tunneling Method.
UR - http://www.scopus.com/inward/record.url?scp=84888352599&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84888352599&partnerID=8YFLogxK
U2 - 10.1061/9780784412343.0063
DO - 10.1061/9780784412343.0063
M3 - Conference contribution
AN - SCOPUS:84888352599
SN - 9780784412343
T3 - Congress on Computing in Civil Engineering, Proceedings
SP - 501
EP - 508
BT - Computing in Civil Engineering - Proceedings of the 2012 ASCE International Conference on Computing in Civil Engineering
T2 - 2012 ASCE International Conference on Computing in Civil Engineering
Y2 - 17 June 2012 through 20 June 2012
ER -