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Title	Demonstration Of Φ-Otdr-Based Dfos Assisted By Yolov8 For Traffic Monitoring In Smart Cities
ID_Doc	18296
Authors	Colares R.A.; Huancachoque L.A.; Conforti E.; Mello D.A.A.
Year	2024
Published	2024 SBFoton International Optics and Photonics Conference, SBFoton IOPC 2024
DOI	http://dx.doi.org/10.1109/SBFotonIOPC62248.2024.10813552
Abstract	We investigate the viability of using legacy fiber infrastructure to support future smart cities using distributed fiber optic sensing (DFOS) for traffic control. We carry out a field trial using fibers installed along the university campus and a dedicated camera for traffic parameter estimation. The novel YOLOv8 pattern recognition model applied to recorded video sequences is used as a reference to validate the implemented phase-sensitive optical time-domain reflectometer (φ-OTDR). The collected φ-OTDR data is manually annotated and compared to the YOLOv8 data used as ground truth. The results indicate that the implemented φ-OTDR setup successfully detects heavy vehicle traffic. © 2024 IEEE.
Author Keywords	smart cities; traffic monitoring; YOLO; φ-OTDR

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