Fontana, Marco 
ORCID: 0000-0003-0703-6535, Garcia-Fernandez, Angel F ORCID: 0000-0002-6471-8455 and Maskell, Simon ORCID: 0000-0003-1917-2913
(2022)
A vehicle detector based on notched power for distributed acoustic sensing.
In: 2022 25th International Conference on Information Fusion (FUSION), 2022-7-4 - 2022-7-7.
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Abstract
Distributed acoustic sensing (DAS) has been shown to be a reliable tool for monitoring highways traffic in an efficient and cost-effective fashion. Nevertheless, multiple-lane highways and noise sources reduce the vehicle detection capabilities of DAS sensors, especially in high-traffic scenarios. In this paper, we propose a novel approach derived from harmonic analysis techniques to estimate vehicle trajectories from DAS data. Our method aims to detect closely-spaced lines by iteratively notching the contribution of the lines already estimated. The results show the remarkable performance of the proposed method compared to the Hough transform, proving the potential of the notched power vehicle detector in a wide range of noise levels.
| Item Type: | Conference or Workshop Item (Unspecified) |
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| Uncontrolled Keywords: | Distributed acoustic sensing (DAS), vehicle detector, line detector, notch periodogram |
| Divisions: | Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 02 Feb 2023 16:43 |
| Last Modified: | 15 Mar 2024 08:52 |
| DOI: | 10.23919/fusion49751.2022.9841250 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3168105 |
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