Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/30618
Title: How to Valorize Construction and Demolition Wastes? Beyond the State of the art Through Vision Systems and Artificial Intelligence Tools
Authors: Cosoli, G
Salerno, G
Calcagni, MT
Pandarese, G
Violini, L
El Masri, E
de Melo Ribeiro, H
Abbas, MAA
Revel, GM
Keywords: CDWs;sensors;vision systems;AI;sustainability;building life cycle;waste valorization;circular economy
Issue Date: 12-Jun-2024
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: Cosoli, G. et al. (2024) 'How to Valorize Construction and Demolition Wastes? Beyond the State of the art Through Vision Systems and Artificial Intelligence Tools', 2024 IEEE International Workshop on Metrology for Living Environment, MetroLivEnv 2024 - Proceedings, Chania, Greece, 12-14 June, pp. 552 - 557. doi: 10.1109/MetroLivEnv60384.2024.10615834.
Abstract: The efficient tracking of Construction and Demolition Wastes (CDWs) is pivotal in a perspective of sustainability and circularity in the construction sector. Sensing and digital technologies can undoubtedly play a relevant role in this context. This paper proposes an innovative approach for detection, quantification, and characterization of CDWs in order to provide information exploitable through optimized valorization routes made available via dedicated service platforms. The preliminary results are promising, and the solution will be iteratively refined and improved thanks to continuous data collection from real-world scenarios.
URI: https://bura.brunel.ac.uk/handle/2438/30618
DOI: https://doi.org/10.1109/MetroLivEnv60384.2024.10615834
ISBN: 979-8-3503-8501-4 (ebk)
979-8-3503-8502-1 (PoD)
979-8-3503-8500-7 (USB)
Other Identifiers: ORCiD: Evelyne El Masri https://orcid.org/0000-0003-3241-5844
ORCiD: Henrique de Melo Ribeiro https://orcid.org/0000-0001-5637-9644
Appears in Collections:Brunel Innovation Centre

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