3D Point Cloud to BIM: Semi-Automated Framework to Define IFC Alignment Entities from MLS-Acquired LiDAR Data of Highway Roads

Mario Soilán,Andrés Justo,Belén Riveiro,Ana Sánchez-Rodríguez

doi:10.3390/rs12142301

Mario Soilán, Andrés Justo + Show 2 more

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https://doi.org/10.3390/rs12142301

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Journal: Remote sensing	Publication Date: Jul 17, 2020
Citations: 36	License type: CC BY 4.0

Affiliation: Universidad de Salamanca, Universidade de Vigo

Abstract

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.

Highlights

Nowadays, reliable and effective information exchange is crucial to any industry
This paper presents a semi-automated framework that takes as input a raw point cloud from a mobile mapping system, and outputs an Industry Foundation Classes (IFC)-compliant file that models the alignment and the centreline of each road lane in a highway road
The Industry Foundation Classes (IFC) is an open standard for creating Building information modeling (BIM) models designed by buildingSMART, and it has been shifting toward the infrastructure domain over the past years

Summary

Introduction

Reliable and effective information exchange is crucial to any industry. Misinterpretations or delays directly translate into increased cost and time requirements. In the architecture, engineering, and construction (AEC) domain, this effect is accentuated This field is a heterogeneous mix of different disciplines that are meant to work together. Such a synergy thrives with the presence of a standard ensuring that the data are accessible and usable by everyone involved This is what shifted the industry toward the adoption of building information modelling (BIM). It acts as a unique source of information, storing all relevant data about the asset. The Industry Foundation Classes (IFC) is an open standard for creating BIM models designed by buildingSMART, and it has been shifting toward the infrastructure domain over the past years. Laser scanning provides a way to obtain both accurate geometric representations instead of idealized forms, and to monitor the current state of the asset

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