Littering is a major problem that threatens the environment, society, and economy. Keep track, monitor and regularly clean littering sites can be a crucial problem that involves public authorities, municipalities, companies, and citizens. So far approaches have not well leveraged the knowledge and capabilities that derive from the federation of multiple communities, such as cities, public bodies, and organizations. In this paper, we describe the COBOL project, a National PRIN (Progetti di Rilevante Interesse Nazionale) PNRR (Piano Nazionale Ripresa e Resilienza) project funded by the Italian MUR (Ministero dell'Università e della Ricerca) in 2023. The project aims to definite a flexible framework for managing the waste disposal process through a federated learning architecture that collects and integrates the reports (e.g., annotated pictures and user feedback) shared by the communities involved in the waste disposal process. To deliver an advanced waste disposal service based on the direct participation of citizens, COBOL also integrates Model-Driven Engineering principles, Computer Vision techniques, and Self-Adaptation mechanisms. Early results show that reports can be effectively collected and processed with COBOL.

Baresi, L., Bianco, S., Di Salle, A., Iovino, L., Mariani, L., Micucci, D., et al. (2024). COBOL: COmmunity-Based Organized Littering. In Proceedings of the Euromicro Conference on Software Engineering and Advanced Applications, EUROMICRO-SEAA (pp.511-517). IEEE [10.1109/SEAA64295.2024.00084].

COBOL: COmmunity-Based Organized Littering

Bianco S.;Mariani L.;Micucci D.;Rossi M. T.;Schettini R.
2024

Abstract

Littering is a major problem that threatens the environment, society, and economy. Keep track, monitor and regularly clean littering sites can be a crucial problem that involves public authorities, municipalities, companies, and citizens. So far approaches have not well leveraged the knowledge and capabilities that derive from the federation of multiple communities, such as cities, public bodies, and organizations. In this paper, we describe the COBOL project, a National PRIN (Progetti di Rilevante Interesse Nazionale) PNRR (Piano Nazionale Ripresa e Resilienza) project funded by the Italian MUR (Ministero dell'Università e della Ricerca) in 2023. The project aims to definite a flexible framework for managing the waste disposal process through a federated learning architecture that collects and integrates the reports (e.g., annotated pictures and user feedback) shared by the communities involved in the waste disposal process. To deliver an advanced waste disposal service based on the direct participation of citizens, COBOL also integrates Model-Driven Engineering principles, Computer Vision techniques, and Self-Adaptation mechanisms. Early results show that reports can be effectively collected and processed with COBOL.
paper
computer vision; crowdsourcing; federated learning; model-driven engineering; waste detection; waste removal;
English
50th Euromicro Conference on Software Engineering and Advanced Applications - 28-30 August 2024
2024
Proceedings of the Euromicro Conference on Software Engineering and Advanced Applications, EUROMICRO-SEAA
9798350380262
2024
2024
511
517
none
Baresi, L., Bianco, S., Di Salle, A., Iovino, L., Mariani, L., Micucci, D., et al. (2024). COBOL: COmmunity-Based Organized Littering. In Proceedings of the Euromicro Conference on Software Engineering and Advanced Applications, EUROMICRO-SEAA (pp.511-517). IEEE [10.1109/SEAA64295.2024.00084].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/548010
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