Fully Automated Scan-to-BIM Via Point Cloud Instance Segmentation

Campagnolo, D.; Camuffo, E.; Michieli, U.; Borin, P.; Milani, S.; Giordano, A.

doi:10.1109/icip49359.2023.10222064

2023 IEEE International Conference on Image Processing (ICIP) 2023

DOI: 10.1109/icip49359.2023.10222064

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Fully Automated Scan-to-BIM Via Point Cloud Instance Segmentation

D. Campagnolo,

E. Camuffo,

U. Michieli

et al.

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2024

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Cited by 1 publication

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Development of a 3D Digital Model of End-of-Service-Life Buildings for Improved Demolition Waste Management through Automated Demolition Waste Audit

Omer,

Wang,

Quintana Roma

et al. 2024

Environments

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This paper presents the development of a 3D digital model of end-of-service-life buildings to facilitate a step change in preparation of pre-demolition protocols that can eliminate problems of inadequate documentation and extensive time spent in preparing pre-demolition audits. The 3D digital model consists of the following four main components: (i) digitization of paper-based drawings and their conversion to CAD; (ii) automated generation of a 3D digital model from CAD; (iii) corrections to the 3D digital model to account for changes in the lifetime of a building; (iv) a sub-model for performing pre-demolition audit. This paper proposes the innovative approaches of incorporating a minimal amount of human intervention to overcome numerous difficulties in automated drawing analysis, application of augmented reality (AR) in corrections to the 3D digital model, and data compatibility for pre-demolition audit. These processes are demonstrated using one building as case study. Using the digital model, a pre-demolition audit can be prepared in minutes rather than the many days required in current practice without a digital model. The accurate quantification of the quantities and locations of different demolition waste materials and products in buildings to be demolished will enable a systematic and quantitative evaluation of potentials of material and product reuse and eliminate contamination of different demolition waste streams (which may contain hazardous waste), which is the main cause of environmental degradation and downcycling of demolition waste materials.

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Development of a 3D Digital Model of End-of-Service-Life Buildings for Improved Demolition Waste Management through Automated Demolition Waste Audit

Omer,

Wang,

Quintana Roma

et al. 2024

Environments

View full text Add to dashboard Cite

show abstract

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Fully Automated Scan-to-BIM Via Point Cloud Instance Segmentation

Cited by 1 publication

References 22 publications

Development of a 3D Digital Model of End-of-Service-Life Buildings for Improved Demolition Waste Management through Automated Demolition Waste Audit

Development of a 3D Digital Model of End-of-Service-Life Buildings for Improved Demolition Waste Management through Automated Demolition Waste Audit

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