Modern logistics operations in warehouses involve humans working in indoor spaces, often filled with hazardous situations. To establish safe and efficient environments and mitigate the risk of collisions or accidents, it is crucial to localize and track human movements. In the preceding decade, advancements in location-based services, including human activity monitoring, have catalyzed an escalating level of interest in the domain of indoor and outdoor positioning and localization technologies. This study presents a tracking system that combines inertial measurement data with an ultra-wideband infrastructure to accurately track and localize individuals within a warehouse environment, delivering real-time alerts to enhance safety. The system has been designed to be self-configurable and is capable of learning most of the necessary parameters online. Its low computational requirements make it suitable for implementation on wearable devices. The effectiveness of the adaptive online algorithms was demonstrated in a real indoor scenario when the tracking system was tested. A system of alerts has been implemented to ensure that persons remain within the designated safe zone.
Pascucci, F., Dolfi, M., Morosi, S., Marunti, E., Giarre, L. (2025). Safety through Human Tracking in an Industrial Setting. In 2025 33rd Mediterranean Conference on Control and Automation, MED 2025 (pp.144-149). 345 E 47TH ST, NEW YORK, NY 10017 USA : Institute of Electrical and Electronics Engineers Inc. [10.1109/MED64031.2025.11073529].
Safety through Human Tracking in an Industrial Setting
Pascucci F.;
2025-01-01
Abstract
Modern logistics operations in warehouses involve humans working in indoor spaces, often filled with hazardous situations. To establish safe and efficient environments and mitigate the risk of collisions or accidents, it is crucial to localize and track human movements. In the preceding decade, advancements in location-based services, including human activity monitoring, have catalyzed an escalating level of interest in the domain of indoor and outdoor positioning and localization technologies. This study presents a tracking system that combines inertial measurement data with an ultra-wideband infrastructure to accurately track and localize individuals within a warehouse environment, delivering real-time alerts to enhance safety. The system has been designed to be self-configurable and is capable of learning most of the necessary parameters online. Its low computational requirements make it suitable for implementation on wearable devices. The effectiveness of the adaptive online algorithms was demonstrated in a real indoor scenario when the tracking system was tested. A system of alerts has been implemented to ensure that persons remain within the designated safe zone.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
