Notch power detector for multiple vehicle trajectory estimation with distributed acoustic sensing

Fontana, Marco ORCID: 0000-0003-0703-6535, Garcia-Fernandez, angel F ORCID: 0000-0002-6471-8455 and Maskell, Simon ORCID: 0000-0003-1917-2913 (2025) Notch power detector for multiple vehicle trajectory estimation with distributed acoustic sensing SIGNAL PROCESSING, 232. 109905-. ISSN 0165-1684, 1872-7557

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Abstract

In the last years, road traffic monitoring based on Distributed Acoustic Sensing (DAS) has been used to provide a cost-efficient alternative to traditional monitoring systems. When processing DAS data, the presence of a vehicle cannot be based solely on a single point of time, due to the noise generated by external sources and suboptimal coupling between the fibre and the road surface. In this paper, we present a method to detect vehicle trajectories in short time windows based on the concept of the notch periodogram. The proposed approach iteratively estimates trajectory segments and notches their contribution in the original data, providing remarkable detection performance in high traffic scenarios. The efficient implementation described in this paper outperforms Hough Transform (HT) methods on both synthetic and real data, enabling superior real-time vehicle detection in traffic monitoring systems based on DAS.

Item Type:	Article
Additional Information:	Source info: SIGPRO-D-24-01197
Uncontrolled Keywords:	Vehicle detector, Line detector, Trajectory extraction, Notch periodogram, Distributed acoustic sensing, Traffic monitoring
Divisions:	Faculty of Science & Engineering Faculty of Science & Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User:	Symplectic Admin
Date Deposited:	21 Jan 2025 08:21
Last Modified:	16 Jun 2026 20:11
DOI:	10.1016/j.sigpro.2025.109905
Related Websites:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3189779
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