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LiDAR-Based Building Information Modeling: Recent Progress and Applications

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Urban Remote Sensing".

Deadline for manuscript submissions: 15 November 2024 | Viewed by 269

Special Issue Editors


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Guest Editor
Medmont International PTY Ltd., Parkville, Australia
Interests: lidar data processing; 3D reconstruction and 3D mapping; BIM; machine learning; deep learning

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Guest Editor
Geomatics Research Group, Faculty of Engineering Technology, KU Leuven, Gent, Belgium
Interests: building information modeling (BIM); 3D reconstruction; point cloud; laser scanning; photogrammetry; machine learning; construction monitoring
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Special Issue Information

Dear Colleagues,

Building Information Modelling (BIM) has been widely recognized as a key element for digitalization in architecture, engineering, and construction, as it offers innovative approaches for higher productivity and efficiency at different stages of a building and infrastructure development project, from planning to maintenance and operation. BIM also enables more transparency in management, and greater intelligence in the decision-making process, as well as increased collaboration among various stakeholders during the whole life-cycle of buildings, facilities and infrastructures.

With the rapid advancement of remote sensing and reality-capturing technologies, light detection and ranging (LiDAR) has emerged as one of the most rapid, precise, and versatile 3D measurement technologies. This technology enables the capture of 3D representations of surrounding environments and objects as a 3D point cloud map or a 3D mesh model with high accuracy and completeness under challenging light and weather conditions. In BIM, LiDAR facilitates the efficient generation of detailed 3D models of buildings, facilities, infrastructure, and other structures (e.g., bridges and utilities). Therefore, it offers the potential to obtain an up-to-date BIM model system, which combines the 3D models of building components and their functional product information. These models are essential for many applications, such as urban growth monitoring and planning, facility management and energy efficiency, as well as emergency response and disaster prevention.

This Special Issue aims to collate papers on the state of the art of LiDAR-based BIM research including, but not limited to, LiDAR data analysis and data fusion in building detection and 3D building reconstruction, rooftop modeling and building boundary extraction,  and change detection for BIM-based applications (e.g., urban growth monitoring, land use/land cover (LULC) mappings, navigation, emergency response, etc.).

Dr. Ha Tran
Dr. Jesús Balado Frías
Dr. Maarten Bassier
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • LiDAR
  • laser scanning
  • point cloud modeling and analysis
  • Building Information Modelling (BIM)
  • digital terrain models (DTM)
  • geographic mapping
  • semantic segmentation
  • 3D reconstruction
  • object extraction
  • deep learning
  • data fusion
  • UAV/UAS

Published Papers

This special issue is now open for submission.
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