Sensor-based characterization of construction and demolition waste at high occupancy densities using synthetic training data and deep learning

Sensor-based monitoring of construction and demolition waste (CDW) streams plays an important role in recycling (RC). Extracted knowledge about the composition of a material stream helps identifying RC paths, optimizing processing plants and form the basis for sorting. To enable economical use, it i...

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Veröffentlicht in:	Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA. - 1991. - 42(2024), 9 vom: 01. Sept., Seite 788-796
1. Verfasser:	Kronenwett, Felix (VerfasserIn)
Weitere Verfasser:	Maier, Georg, Leiss, Norbert, Gruna, Robin, Thome, Volker, Längle, Thomas
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2024
Zugriff auf das übergeordnete Werk:	Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
Schlagworte:	Journal Article Machine learning circular economy construction and demolition waste object detection sensor-based sorting synthetic data