LiDAR and UHF-RFID Sensor Fusion for Dynamic Obstacles Detection and Tracking
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.
Authors
- Daniele Puri (ORCID: https://orcid.org/0009-0004-9153-4063)
- Laura Tomassini
- Paolo Nepa (ORCID: https://orcid.org/0000-0001-7542-819X)
- Andrea Motroni (ORCID: https://orcid.org/0000-0003-3281-4685)
- Leonardo Vita (ORCID: https://orcid.org/0000-0001-8484-2827)
- Davide Gattamelata (ORCID: https://orcid.org/0000-0002-1043-2785)
- Emanuele Tavanti (ORCID: https://orcid.org/0000-0002-1299-0692)
Institutions
- University of Pisa (IT)
- Istituto Nazionale per l'Assicurazione Contro gli Infortuni sul Lavoro (IT)
Publication Details
- Published
- 2025-10-28
- DOI
- https://doi.org/10.1109/rfid-ta63091.2025.11265832
- Primary Topic
- Occupational Health and Safety Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00