An analysis on metric-driven multi-target sensor management: GOSPA versus OSPA
Abstract
This paper presents an analysis on sensor management using a cost function based on a multi-target metric, in particular, the optimal subpattern-assignment (OSPA) metric, the unnormalised OSPA (UOSPA) metric and the generalised OSPA (GOSPA) metric (\alpha=2). We consider the problem of managing an array of sensors, where each sensor is able to observe a region of the surveillance area, not covered by other sensors, with a given sensing cost. We look at the case in which there are far-away, independent potential targets, at maximum one per sensor region. In this set-up, the optimal action using GOSPA is taken for each sensor independently, as we may expect. On the contrary, as a consequence of the spooky effect at a distance in optimal OSPA/UOSPA estimation, the optimal actions for different sensors using OSPA and UOSPA are entangled.
Cite
@article{arxiv.2110.11788,
title = {An analysis on metric-driven multi-target sensor management: GOSPA versus OSPA},
author = {Ángel F. García-Fernández and Marcel Hernandez and Simon Maskell},
journal= {arXiv preprint arXiv:2110.11788},
year = {2021}
}
Comments
This paper received the 2nd best paper award at the 24th International Conference on Information Fusion. A presentation on the GOSPA metric can be found at https://www.youtube.com/watch?v=M79GTTytvCM