TY - GEN
T1 - Semi-automated as-built modeling of light rail system guide beams
AU - Tang, Pingbo
AU - Akinci, Burcu
AU - Huber, Daniel
PY - 2010
Y1 - 2010
N2 - For a light rail system, smooth contact between the vehicle and the guide beam is critical for reducing the friction and the vibration of an operating vehicle. Therefore, the shape of guide beams needs to be controlled with mm-level accuracy during the construction. Currently, most methods for detecting shape defects of guide beams, such as experimental run of vehicles, are costly and tedious, and can only identify defects after the completion of the construction, causing reworks and delays. From dense point clouds collected by laser scanners, inspectors can manually extract geometric features and conduct virtual inspections of guide beams. However, the manual geometric feature extraction process impedes effective utilization of point clouds for the shape analysis of guide beams. This research developed a semi-automatic approach for simultaneously extracting the axis parameters (e.g., radius) and cross-section features (e.g., width) of a guide beam using a Hough-Transform based approach, and discusses factors (e.g., data density) influencing the performance of this approach.
AB - For a light rail system, smooth contact between the vehicle and the guide beam is critical for reducing the friction and the vibration of an operating vehicle. Therefore, the shape of guide beams needs to be controlled with mm-level accuracy during the construction. Currently, most methods for detecting shape defects of guide beams, such as experimental run of vehicles, are costly and tedious, and can only identify defects after the completion of the construction, causing reworks and delays. From dense point clouds collected by laser scanners, inspectors can manually extract geometric features and conduct virtual inspections of guide beams. However, the manual geometric feature extraction process impedes effective utilization of point clouds for the shape analysis of guide beams. This research developed a semi-automatic approach for simultaneously extracting the axis parameters (e.g., radius) and cross-section features (e.g., width) of a guide beam using a Hough-Transform based approach, and discusses factors (e.g., data density) influencing the performance of this approach.
KW - 3D Modeling
KW - Geometric feature extraction
KW - Information retrieval
KW - Laser scanning
KW - Quality control
KW - Surveying
UR - http://www.scopus.com/inward/record.url?scp=77956325988&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77956325988&partnerID=8YFLogxK
U2 - 10.1061/41109(373)13
DO - 10.1061/41109(373)13
M3 - Conference contribution
AN - SCOPUS:77956325988
SN - 9780784411094
T3 - Construction Research Congress 2010: Innovation for Reshaping Construction Practice - Proceedings of the 2010 Construction Research Congress
SP - 122
EP - 131
BT - Construction Research Congress 2010
T2 - Construction Research Congress 2010: Innovation for Reshaping Construction Practice
Y2 - 8 May 2010 through 10 May 2010
ER -