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.
@article{arxiv.2506.07889,
title = {Stone Soup: ADS-B-based Multi-Target Tracking with Stochastic Integration Filter},
author = {John Hiles and Jakub Matousek and Erik Blasch and Ruixin Niu and Ondrej Straka and Jindrich Dunik},
journal= {arXiv preprint arXiv:2506.07889},
year = {2025}
}
Comments
Submitted to FUSION2025 - revised accepted version