2024/05/02 by Simon Leander Berg Fredriksen, The Tien Mai, Fredriksen, Simon L. B. +5
Computer Science · Engineering · #Applications (stat.AP) #Automated Road and Building Extraction #Data Management and Algorithms #FOS: Computer and information sciences #Maritime Navigation and Safety
paper · pdf · doi:10.48550/arxiv.2405.01140
openalex publication_date 2024/05/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Distributed acoustic sensing through fiber-optical cables can contribute to traffic monitoring systems. Using data from a day of field testing on a 50 km long fiber-optic cable along a railroad track in Norway, we detect and track cars and trains along a segment of the fiber-optic cable where the road runs parallel to the railroad tracks. We develop a method for automatic detection of events and then use these in a Kalman filter variant known as joint probabilistic data association for object tracking and classification. Model parameters are specified using in-situ log data along with the fiber-optic signals. Running the algorithm over an entire day, we highlight results of counting cars and trains over time and their estimated velocities.