Road traffic extraction for unknown anomaly detection using distributed fiber optic sensing

US12051326B2 · kind B2 · utility

Assignee

• NEC CORPORATION · JP

Inventors

• Shaobo HAN · Princeton, US
• Ming-Fang Huang · Princeton, US
• Philip Nan Ji · Cranbury, US
• Yueheng CHEN · Deans, US
• Milad SALEMI · Carrer de Genessies, US

Key dates

• Filing date: Jan 13, 2022
• Grant date: Jul 30, 2024
• Expiry date: Jan 8, 2043

Classification

• Technology area (CPC G): Physics
• CPC primary: G08G1/0145
• WIPO field: Control
• WIPO sector: Instruments

Abstract

Aspects of the present disclosure describe DFOS systems, methods, and structures that advantageously extract road traffic from DFOS vibration patterns such that anomaly detection is possible. Sensed vibration data is represented accurately as a set of points, where each point is denoted as a tuple with elements indicating a time stamp, a location along a length of a DFOS optical sensing cable, and vibration strength detected at the location at the time. Traffic pattern detection is based on a progressive probabilistic Hough transform (PPHT) that exploits global information from an entire spatial-temporal data snapshot to assess a cause of detected vibrations.