EDBT 2026 Demo / reviewers in the wild / expert
Benedict Oakes
dblp:321/1848
· DBLP profile ↗
3ranked-venue papers in the field
2as first author
3since 2021 · last 2025
0000-0002-2516-0356ORCID · corroborated
Domains — venue-derived; a paper can count in several
Other / Interdisciplinary · 3 (2 first)
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | An Astrodynamics Plugin for Stone SoupabstractThis paper introduces the Stone Soup Astrodynamics Plugin: a plugin for the open-source tracking and state estimation framework to deal with astrodynamics problems. Stone Soup has provided the target tracking and state estimation community with an open, easy-to-deploy framework to develop and assess the performance of different types of trackers. Here, we detail a Stone Soup plugin for astrodynamics which contains useful functions and tools for state estimation in the orbital domain. The plugin also contains wrappers and integrations with popular packages for space domain problems, the European Space Agency's GODOT framework and the Orekit framework. The plugin adopts Stone Soup's goals of testable, trustworthy code, and contains user documentation and use-case examples. In introducing this plugin, we hope to encourage additional adoption and further contributions to the toolkit, as well as invite feedback for future development. Benedict Oakes, Anthony Thompson, Lyudmil Vladimirov, Ángel F. García-Fernández, Christopher Sherman, Jordi Barr |
FUSION | 1 |
| 2023 | Stone Soup: No Longer Just an AppetiserabstractThis paper announces version 1.0 of Stone Soup: the open-source tracking and state estimation framework. We highlight key elements of the framework and outline example applications and community activities.Stone Soup is engineered with modularity and encapsulation at its heart. This means that its many components can be put together in any number of ways to build, compare, and assure almost any type of multi-target tracking and fusion algorithm. Since its inception in 2017, it has aimed to provide the target tracking and state estimation community with an open, easy-to-deploy framework to develop and assess the performance of different types of trackers. Now, through repeated application in many use cases, implementation of a wide variety of algorithms, multiple beta releases, and contributions from the community, the framework has reached a stable point.In announcing this release, we hope to encourage additional adoption and further contributions to the toolkit. We also acknowledge and express appreciation for the many contributions of time and expertise donated by the tracking and fusion community. Steven Hiscocks, Jordi Barr, Nicola Perree, James Wright, Henry Pritchett, Oliver Rosoman, Michael Harris, Roisín Gorman, Sam Pike, Peter Carniglia, Lyudmil Vladimirov, Benedict Oakes |
FUSION | 12 |
| 2022 | Double Deep Q Networks for Sensor Management in Space Situational Awareness
Benedict Oakes, Dominic Richards, Jordi Barr, Jason F. Ralph |
FUSION | 1 |