In this work, a label-assignment and tracking system combining LiDAR and UHF-RFID systems to monitor workers and other obstacles positions in construction sites is presented with the aim of achieving a smart, reliable and efficient safety system. The proposed algorithm identifies clusters from 2D LiDAR cloud point maps and associates them with RFID tags identifier attached to targets by cross-correlating phase data with the cluster motion. The herein presented system is validated in an indoor environment.

LiDAR and UHF-RFID Sensor Fusion for Dynamic Obstacles Detection and Tracking

Tavanti, Emanuele;Motroni, Andrea
;
Nepa, Paolo;
2025-01-01

Abstract

In this work, a label-assignment and tracking system combining LiDAR and UHF-RFID systems to monitor workers and other obstacles positions in construction sites is presented with the aim of achieving a smart, reliable and efficient safety system. The proposed algorithm identifies clusters from 2D LiDAR cloud point maps and associates them with RFID tags identifier attached to targets by cross-correlating phase data with the cluster motion. The herein presented system is validated in an indoor environment.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1347087
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