TY - GEN
T1 - Simulation for characterizing a progressive registration algorithm aligning as-built 3D point clouds against as-designed models
AU - Tang, Pingbo
AU - Rasheed, Syed Hammad
PY - 2013
Y1 - 2013
N2 - Construction engineers compare as-built data against as-designed models for monitoring construction defects or changes. As laser scanners can collect 3D point clouds as as-built data in a few minutes, engineers start to compare point clouds against the as-designed model. Such comparison requires a reliable datamodel registration that precisely distinguishes data-model differences (e.g., displacements) from the well-matched parts. Previously developed registration methods have limitations on aligning two geometries with geometric differences. Target-based registration methods pose challenges of installing targets and ensuring their visibilities on job sites. Feature-based registration algorithms need engineers to manually set proper parameters to precisely reject data-model differences. Through the simulation of a progressive data-model registration process, this study characterizes a progressive 3D registration approach that can precisely reject data-model differences. Sensitivity analysis results of this approach in a case study show that this approach outperforms previous methods in terms of precision without losing substantial computational efficiency.
AB - Construction engineers compare as-built data against as-designed models for monitoring construction defects or changes. As laser scanners can collect 3D point clouds as as-built data in a few minutes, engineers start to compare point clouds against the as-designed model. Such comparison requires a reliable datamodel registration that precisely distinguishes data-model differences (e.g., displacements) from the well-matched parts. Previously developed registration methods have limitations on aligning two geometries with geometric differences. Target-based registration methods pose challenges of installing targets and ensuring their visibilities on job sites. Feature-based registration algorithms need engineers to manually set proper parameters to precisely reject data-model differences. Through the simulation of a progressive data-model registration process, this study characterizes a progressive 3D registration approach that can precisely reject data-model differences. Sensitivity analysis results of this approach in a case study show that this approach outperforms previous methods in terms of precision without losing substantial computational efficiency.
UR - http://www.scopus.com/inward/record.url?scp=84894170604&partnerID=8YFLogxK
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U2 - 10.1109/WSC.2013.6721683
DO - 10.1109/WSC.2013.6721683
M3 - Conference contribution
AN - SCOPUS:84894170604
SN - 9781479939503
T3 - Proceedings of the 2013 Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013
SP - 3169
EP - 3180
BT - Proceedings of the 2013 Winter Simulation Conference - Simulation
T2 - 2013 43rd Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013
Y2 - 8 December 2013 through 11 December 2013
ER -