Generalized optimal sub-pattern assignment metric

@article{Rahmathullah2017GeneralizedOS,
  title={Generalized optimal sub-pattern assignment metric},
  author={Abu Sajana Rahmathullah and {\'A}ngel F. Garc{\'i}a-Fern{\'a}ndez and Lennart Svensson},
  journal={2017 20th International Conference on Information Fusion (Fusion)},
  year={2017},
  pages={1-8}
}
This paper presents the generalized optimal sub-pattern assignment (GOSPA) metric on the space of finite sets of targets. Compared to the well-established optimal sub-pattern assignment (OSPA) metric, GOSPA is not normalised by the cardinality of the largest set and it penalizes cardinality errors differently, which enables us to express it as an optimisation over assignments instead of permutations. An important consequence of this is that GOSPA allows us to penalize localization errors for… CONTINUE READING
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