162033 20260112133146.0 doi 10.1109/IROS58592.2024.10801797 sideral 144624 ART-2024-144624 eng Casao, Sara Universidad de Zaragoza SpectralWaste Dataset: Multimodal Data for Waste Sorting Automation 2024 Access copy available to the general public Unrestricted The increase in non-biodegradable waste is a worldwide concern. Recycling facilities play a crucial role, but their automation is hindered by the complex characteristics of waste recycling lines like clutter or object deformation. In addition, the lack of publicly available labeled data for these environments makes developing robust perception systems challenging. Our work explores the benefits of multimodal perception for object segmentation in real waste management scenarios. First, we present SpectralWaste, the first dataset collected from an operational plastic waste sorting facility that provides synchronized hyperspectral and conventional RGB images. This dataset contains labels for several categories of objects that commonly appear in sorting plants and need to be detected and separated from the main trash flow for several reasons, such as security in the management line or reuse. Additionally, we propose a pipeline employing different object segmentation architectures and evaluate the alternatives on our dataset, conducting an extensive analysis for both multimodal and unimodal alternatives. Our evaluation pays special attention to efficiency and suitability for real-time processing and demonstrates how hyperspectral imaging can bring a boost to RGB-only perception in these realistic industrial settings without much computational overhead. info:eu-repo/grantAgreement/ES/DGA/T45-23R info:eu-repo/grantAgreement/ES/DGA/T58-23R info:eu-repo/grantAgreement/ES/MICINN/PID2021-125514NB-I00 info:eu-repo/grantAgreement/ES/MICINN/PID2022-136454NB-C22 info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 0.681 2024 Computer Science Applications 2024 Software 2024 Control and Systems Engineering 2024 Computer Vision and Pattern Recognition 2024 3.8 2024 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Peña, Fernando Universidad de Zaragoza (orcid)0000-0002-6773-9315 Sabater, Alberto Castillón, Rosa Suárez, Darío Universidad de Zaragoza (orcid)0000-0002-7490-4067 Montijano, Eduardo Universidad de Zaragoza (orcid)0000-0002-5176-3767 Murillo, Ana C. Universidad de Zaragoza (orcid)0000-0002-7580-9037 5007 035 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Arquit.Tecnología Comput. 5007 520 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Ingen.Sistemas y Automát. 2024 (2024), 5852-5858 Proc. IEEE/RSJ Int. Conf. Intell. Rob. Syst. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems 2153-0858 SpectralWaste Dataset: Multimodal Data for Waste Sorting Automation 10.5281/zenodo.10880543 Dataset website https://sites.google.com/unizar.es/spectralwaste 753985 http://zaguan.unizar.es/record/162033/files/texto_completo.pdf Postprint 3294916 http://zaguan.unizar.es/record/162033/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:162033 articulos driver 2026-01-12-12:36:31 ARTICLE