期刊
REMOTE SENSING
卷 12, 期 14, 页码 -出版社
MDPI
DOI: 10.3390/rs12142301
关键词
mobile laser scanning; point cloud processing; infrastructure information models; building information modeling; Industry Foundation Classes; road alignment modeling
类别
资金
- European Union's Horizon 2020 research and innovation programme [769255]
- Spanish Ministry of Science, Innovation and Universities through the LASTING project [RTI2018-095893-B-C21]
- Spanish Ministry of Science and Innovation [FJC2018-035550-I]
Building information modeling (BIM) is a process that has shown great potential in the building industry, but it has not reached the same level of maturity for transportation infrastructure. There is a standardization need for information exchange and management processes in the infrastructure that integrates BIM and Geographic Information Systems (GIS). Currently, the Industry Foundation Classes standard has harmonized different infrastructures under the Industry Foundation Classes (IFC) 4.3 release. Furthermore, the usage of remote sensing technologies such as laser scanning for infrastructure monitoring is becoming more common. This paper presents a semi-automated framework that takes as input a raw point cloud from a mobile mapping system, and outputs an IFC-compliant file that models the alignment and the centreline of each road lane in a highway road. The point cloud processing methodology is validated for two of its key steps, namely road marking processing and alignment and road line extraction, and a UML diagram is designed for the definition of the alignment entity from the point cloud data.
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