Stone Soup: ADS-B-based Multi-Target Tracking with Stochastic Integration Filter
Fuente:
arXiv
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| Autores principales: | , , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866910997979070464 |
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| author | Hiles, John Matousek, Jakub Blasch, Erik Niu, Ruixin Straka, Ondrej Dunik, Jindrich |
| author_facet | Hiles, John Matousek, Jakub Blasch, Erik Niu, Ruixin Straka, Ondrej Dunik, Jindrich |
| contents | This paper focuses on the multi-target tracking using the Stone Soup framework. In particular, we aim at evaluation of two multi-target tracking scenarios based on the simulated class-B dataset and ADS-B class-A dataset provided by OpenSky Network. The scenarios are evaluated w.r.t. selection of a local state estimator using a range of the Stone Soup metrics. Source code with scenario definitions and Stone Soup set-up are provided along with the paper. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_07889 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Stone Soup: ADS-B-based Multi-Target Tracking with Stochastic Integration Filter Hiles, John Matousek, Jakub Blasch, Erik Niu, Ruixin Straka, Ondrej Dunik, Jindrich Signal Processing This paper focuses on the multi-target tracking using the Stone Soup framework. In particular, we aim at evaluation of two multi-target tracking scenarios based on the simulated class-B dataset and ADS-B class-A dataset provided by OpenSky Network. The scenarios are evaluated w.r.t. selection of a local state estimator using a range of the Stone Soup metrics. Source code with scenario definitions and Stone Soup set-up are provided along with the paper. |
| title | Stone Soup: ADS-B-based Multi-Target Tracking with Stochastic Integration Filter |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2506.07889 |