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We present a real-time, fully automatic vehicle traffic monitoring system based on phase-sensitive Optical Time Domain Reflectometry ( \(\varPhi \) -OTDR) using distributed fiber optic sensors. The solution is designed for embedded on-the-edge deployment, leveraging a compact system composed of an FPGA with an integrated processor. It enables direct, in-stream processing of \(\varPhi \) -OTDR signals without requiring data storage or offline analysis. The system emulates, among others facilities, the functionality of a simplified Hough Transform (HT) through a lightweight hardware architecture based on an array of binary shift registers, optimized for detecting near-vertical line segments that correspond to the signature of moving vehicles. The proposed solution demonstrates that existing optical fiber networks can be effectively repurposed for low-power, real-time traffic monitoring using dedicated embedded hardware. (Supplementary material available: https://github.com/marsistefano/ApplePie25 .)

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Real-Time Vehicle Traffic Detection Using Distributed Fiber Optic Sensors

  • 会议论文

  • 发表日期：

    2026年

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  • Stefano Marsi,
  • Luigi Zeni,
  • Alberto Carini,
  • Giulia Buttazzoni,
  • Massimiliano Comisso,
  • Aldo Minardo

摘要

We present a real-time, fully automatic vehicle traffic monitoring system based on phase-sensitive Optical Time Domain Reflectometry ( \(\varPhi \) -OTDR) using distributed fiber optic sensors. The solution is designed for embedded on-the-edge deployment, leveraging a compact system composed of an FPGA with an integrated processor. It enables direct, in-stream processing of \(\varPhi \) -OTDR signals without requiring data storage or offline analysis. The system emulates, among others facilities, the functionality of a simplified Hough Transform (HT) through a lightweight hardware architecture based on an array of binary shift registers, optimized for detecting near-vertical line segments that correspond to the signature of moving vehicles. The proposed solution demonstrates that existing optical fiber networks can be effectively repurposed for low-power, real-time traffic monitoring using dedicated embedded hardware. (Supplementary material available: https://github.com/marsistefano/ApplePie25 .)