TY - GEN
T1 - Retracing positions of terrestrial laser scanners to reinstate legacy point clouds
AU - Eickeler, Felix
AU - Borrmann, André
N1 - Publisher Copyright:
© EG-ICE 2020 Workshop on Intelligent Computing in Engineering, Proceedings. All rights reserved.
PY - 2020
Y1 - 2020
N2 - Laser scanners provide a mostly geometric representation, but further details can be collected by analysing the recording setup. While the recording configuration is needed in post-processing, it is generally not passed on to the engineers as most scans are created by surveyors and handled by subcontractors. This disconnection between the consumer and the creator can be observed by the fact, that most laser scanned point clouds include intensity information. In day to day use, the intensity information serves as a substitute for colour as it provides contrasts between different objects in the recording. However, from the technical perspective the intensity is the result of the recording device interacting with the surface. This interaction should not be used for automation as different recording setups may result in different interactions and outcomes. Facing this problem, we propose a mechanism to enrich terrestrial laser scans by recreating original scan parameters and further converting the intensity to reflectivity - a sole property of the recorded surface.
AB - Laser scanners provide a mostly geometric representation, but further details can be collected by analysing the recording setup. While the recording configuration is needed in post-processing, it is generally not passed on to the engineers as most scans are created by surveyors and handled by subcontractors. This disconnection between the consumer and the creator can be observed by the fact, that most laser scanned point clouds include intensity information. In day to day use, the intensity information serves as a substitute for colour as it provides contrasts between different objects in the recording. However, from the technical perspective the intensity is the result of the recording device interacting with the surface. This interaction should not be used for automation as different recording setups may result in different interactions and outcomes. Facing this problem, we propose a mechanism to enrich terrestrial laser scans by recreating original scan parameters and further converting the intensity to reflectivity - a sole property of the recorded surface.
UR - http://www.scopus.com/inward/record.url?scp=85090997729&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85090997729
T3 - EG-ICE 2020 Workshop on Intelligent Computing in Engineering, Proceedings
SP - 1
EP - 11
BT - EG-ICE 2020 Workshop on Intelligent Computing in Engineering, Proceedings
A2 - Ungureanu, Lucian-Constantin
A2 - Hartmann, Timo
PB - Universitatsverlag der TU Berlin
T2 - 27th EG-ICE International Workshop on Intelligent Computing in Engineering 2020
Y2 - 1 July 2020 through 4 July 2020
ER -