%0 Journal Article %1 automation2010002 %A Skalecki, Patric %A Sesselmann, Maximilian %A Rechkemmer, Sabrina %A Britz, Thorsten %A Großmann, Andreas %A Garrecht, Harald %A Sawodny, Oliver %D 2021 %J Automation %K peer %N 1 %P 31--47 %R 10.3390/automation2010002 %T Process Evaluation for Smart Concrete Road Construction:Road Surface and Thickness Evaluation Using High-Speed LiDAR Technology %U https://www.mdpi.com/2673-4052/2/1/2 %V 2 %X The enhancement of new quality criteria in highway construction is a key aspect to improving the construction process and lifetime of road. In particular, mobile laser scanning systems are nowadays able to provide realistic 3D elevation profiles of a road to detect anomalies. In this context, this study utilizes a high-accuracy high-speed mobile mapping vehicle and evaluates a weighted longitudinal profile as an improved measure for evenness analysis. For comparison a classical method with a rolling straight edge was evaluated on the same road section and observed effects are discussed. The second focus is the areal reconstruction of the road thickness. For this purpose, a modern method was developed to spatially synchronize two high-speed laser scans using reference boxes next to the road, to transfer the point clouds into a surface model and to calculate the layer thickness. This procedure was conceptually validated by some pointwise measurements of the layer thickness. With this information, imperfections in the base layer could be detected automatically over a wide area at an early stage and countermeasures might be initiated before constructing the highway.

@article{automation2010002, abstract = {The enhancement of new quality criteria in highway construction is a key aspect to improving the construction process and lifetime of road. In particular, mobile laser scanning systems are nowadays able to provide realistic 3D elevation profiles of a road to detect anomalies. In this context, this study utilizes a high-accuracy high-speed mobile mapping vehicle and evaluates a weighted longitudinal profile as an improved measure for evenness analysis. For comparison a classical method with a rolling straight edge was evaluated on the same road section and observed effects are discussed. The second focus is the areal reconstruction of the road thickness. For this purpose, a modern method was developed to spatially synchronize two high-speed laser scans using reference boxes next to the road, to transfer the point clouds into a surface model and to calculate the layer thickness. This procedure was conceptually validated by some pointwise measurements of the layer thickness. With this information, imperfections in the base layer could be detected automatically over a wide area at an early stage and countermeasures might be initiated before constructing the highway.}, added-at = {2024-04-22T13:24:58.000+0200}, author = {Skalecki, Patric and Sesselmann, Maximilian and Rechkemmer, Sabrina and Britz, Thorsten and Großmann, Andreas and Garrecht, Harald and Sawodny, Oliver}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/27c4c2eab7a33451aa3e516a159bcdb23/intcdc}, doi = {10.3390/automation2010002}, interhash = {5ad9fc04f3faa0600924b7f753f10027}, intrahash = {7c4c2eab7a33451aa3e516a159bcdb23}, issn = {2673-4052}, journal = {Automation}, keywords = {peer}, number = 1, pages = {31--47}, timestamp = {2024-04-22T13:24:58.000+0200}, title = {Process Evaluation for Smart Concrete Road Construction:Road Surface and Thickness Evaluation Using High-Speed LiDAR Technology}, url = {https://www.mdpi.com/2673-4052/2/1/2}, volume = 2, year = 2021 }