Research outputs
2025
An Astrodynamics Plugin for Stone Soup
Oakes, B., Thompson, A., Vladimirov, L., García-Fernández, Á. F., Sherman, C., & Barr, J. (2025). An Astrodynamics Plugin for Stone Soup. In 2025 28th International Conference on Information Fusion (FUSION) (pp. 1-8). IEEE. doi:10.23919/fusion65864.2025.11124098
Stone Soup Goes NUTS: Adding Proposals and the No-U-Turn Sampler to Stone Soup
Acuto, A., Vladimirov, L., Varsi, A., Horridge, P., & Maskell, S. (2025). Stone Soup Goes NUTS: Adding Proposals and the No-U-Turn Sampler to Stone Soup. In 2025 28th International Conference on Information Fusion (FUSION) (pp. 1-8). IEEE. doi:10.23919/fusion65864.2025.11124070
2023
Stone Soup: No Longer Just an Appetiser
Hiscocks, S., Barr, J., Perree, N., Wright, J., Pritchett, H., Rosoman, O., . . . Oakes, B. (2023). Stone Soup: No Longer Just an Appetiser. In 2023 26th International Conference on Information Fusion, FUSION 2023. doi:10.23919/FUSION52260.2023.10224185
2022
Stone Soup open source framework for tracking and state estimation: enhancements and applications
Barr, J., Harrald, O., Hiscocks, S., Perree, N., Pritchett, H., Vidal, S., . . . Vladimirov, L. (2022). Stone Soup open source framework for tracking and state estimation: enhancements and applications. In SIGNAL PROCESSING, SENSOR/INFORMATION FUSION, AND TARGET RECOGNITION XXXI Vol. 12122. doi:10.1117/12.2618495
2021
Mathematical Models and Monte-Carlo Algorithms for Improved Detection of Targets in the Commercial Maritime Domain
Vladimirov, L. (2021, April 9). Mathematical Models and Monte-Carlo Algorithms for Improved Detection of Targets in the Commercial Maritime Domain.
2020
A SMC Sampler for Joint Tracking and Destination Estimation from Noisy Data
Vladimirov, L., & Maskell, S. (2020). A SMC Sampler for Joint Tracking and Destination Estimation from Noisy Data. In PROCEEDINGS OF 2020 23RD INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2020) (pp. 1108-1115). Retrieved from https://www.webofscience.com/
Integrated Expected Likelihood Particle Filters
Ransom, M. J., Vladimirov, L., Horridge, P. R., Ralph, J. F., & Maskell, S. (2020). Integrated Expected Likelihood Particle Filters. In 2020 IEEE 23rd International Conference on Information Fusion (FUSION) (pp. 1-8). IEEE. doi:10.23919/fusion45008.2020.9190387
2019
Stone Soup: Announcement of Beta Release of an Open-Source Framework for Tracking and State Estimation
Last, D., Thomas, P., Hiscocks, S., Barr, J., Kirkland, D., Rashid, M., . . . Vladimirov, L. (2019). Stone Soup: Announcement of Beta Release of an Open-Source Framework for Tracking and State Estimation. In SIGNAL PROCESSING, SENSOR/INFORMATION FUSION, AND TARGET RECOGNITION XXVIII Vol. 11018. doi:10.1117/12.2518514