Research outputs

Selected research outputs

Notch power detector for multiple vehicle trajectory estimation with distributed acoustic sensing (Journal article - 2025)
Data-driven clustering and Bernoulli merging for the Poisson multi-Bernoulli mixture filter (Journal article - 2023)
Multi-target detection and tracking using Distributed Acoustic Sensing (Thesis / Dissertation - 2024)
Poisson Multi-Bernoulli Mixture Filter for Trajectory Measurements (Journal article - 2025)

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Thesis / Dissertation

2025

Source Detection in Broadband Passive SONAR with Vision Transformers and Poisson RFS Loss

Shaw, W., Fontana, M., Üney, M., Colquitt, D., Riches, S., & Jones, C. (2025). Source Detection in Broadband Passive SONAR with Vision Transformers and Poisson RFS Loss. In 2025 28th International Conference on Information Fusion (FUSION) (pp. 1-9). IEEE. doi:10.23919/fusion65864.2025.11124186

DOI: 10.23919/fusion65864.2025.11124186
: Conference Paper

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

Fontana, M., García-Fernández, Á. F., & Maskell, S. (2025). Notch power detector for multiple vehicle trajectory estimation with distributed acoustic sensing. Signal Processing, 232, 109905. doi:10.1016/j.sigpro.2025.109905

DOI: 10.1016/j.sigpro.2025.109905
: Journal article

Poisson Multi-Bernoulli Mixture Filter for Trajectory Measurements

Fontana, M., García-Fernández, Á. F., & Maskell, S. (2025). Poisson Multi-Bernoulli Mixture Filter for Trajectory Measurements. IEEE Transactions on Signal Processing, 73, 4301-4314. doi:10.1109/tsp.2025.3623496

DOI: 10.1109/tsp.2025.3623496
: Journal article

2024

A Poisson Multi-Bernoulli Mixture approach to tracking trains using Distributed Acoustic Sensing

Fontana, M., Hayder, T., Freilinger, W., García-Fernández, Á. F., & Maskell, S. (2024). A Poisson Multi-Bernoulli Mixture approach to tracking trains using Distributed Acoustic Sensing. In 2024 27th International Conference on Information Fusion (FUSION) (pp. 1-8). IEEE. doi:10.23919/fusion59988.2024.10706405

DOI: 10.23919/fusion59988.2024.10706405
: Conference Paper

Multi-target detection and tracking using Distributed Acoustic Sensing

Fontana, M. (2024, June 28). Multi-target detection and tracking using Distributed Acoustic Sensing.

: Thesis / Dissertation

2023

Data-driven clustering and Bernoulli merging for the Poisson multi-Bernoulli mixture filter

Fontana, M., García-Fernández, Á. F., & Maskell, S. (2023). Data-Driven Clustering and Bernoulli Merging for the Poisson Multi-Bernoulli Mixture Filter. IEEE Transactions on Aerospace and Electronic Systems, 59(5), 5287-5301. doi:10.1109/taes.2023.3253662

DOI: 10.1109/taes.2023.3253662
: Journal article

2022

A vehicle detector based on notched power for distributed acoustic sensing

Fontana, M., Garcia-Fernandez, A. F., & Maskell, S. (2022). A vehicle detector based on notched power for distributed acoustic sensing. In 2022 25TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2022). Retrieved from https://www.webofscience.com/

: Conference Paper

Data-driven clustering and Bernoulli merging for the Poisson multi-Bernoulli mixture filter

: Preprint

2020

Bernoulli merging for the Poisson multi-Bernoulli mixture filter

Fontana, M., Garcia-Fenandez, A. F., & Maskell, S. (2020). Bernoulli merging for the Poisson multi-Bernoulli mixture filter. In 2020 IEEE 23rd International Conference on Information Fusion (FUSION) (pp. 1-8). IEEE. doi:10.23919/fusion45008.2020.9190443

DOI: 10.23919/fusion45008.2020.9190443
: Conference Paper

Bernoulli merging for the Poisson multi-Bernoulli mixture filter

Fontana, M., Garcia-Fernandez, A. F., & Maskell, S. (2020). Bernoulli merging for the Poisson multi-Bernoulli mixture filter. In PROCEEDINGS OF 2020 23RD INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2020) (pp. 262-269). Retrieved from https://www.webofscience.com/

: Conference Paper

2018

Machine Learning for Turning Optical Fiber Specklegram Sensor into a Spatially-Resolved Sensing System. Proof of Concept

Rodriguez Cuevas, A., Fontana, M., Rodriguez-Cobo, L., Lomer, M., & Miguel Lopez-Higuera, J. (2018). Machine Learning for Turning Optical Fiber Specklegram Sensor into a Spatially-Resolved Sensing System. Proof of Concept. JOURNAL OF LIGHTWAVE TECHNOLOGY, 36(17), 3733-3738. doi:10.1109/JLT.2018.2850801

DOI: 10.1109/JLT.2018.2850801
: Journal article

2017

Sectorial-Perturbation analysis of fiber specklegram using machine learning techniques

Fontana, M., Rodríguez-Cuevas, A., Rodríguez-Cobo, L., Mateo, J., & Lomer, M. (2017). Sectorial-Perturbation analysis of fiber specklegram using machine learning techniques. In 26th International Conference on Plastic Optical Fibres Pof 2017 Proceedings.

: Conference Paper

2016

Phylogenetic analysis of near-duplicate images using processing age metrics

Milani, S., Fontana, M., Bestagini, P., & Tubaro, S. (2016). Phylogenetic analysis of near-duplicate images using processing age metrics. In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 2054-2058). IEEE. doi:10.1109/icassp.2016.7472038

DOI: 10.1109/icassp.2016.7472038
: Conference Paper