Spooky effect in optimal OSPA estimation and how GOSPA solves it

Garcia-Fernandez, Angel F ORCID: 0000-0002-6471-8455 and Svensson, Lennart (2019) Spooky effect in optimal OSPA estimation and how GOSPA solves it In: 2019 22th International Conference on Information Fusion (FUSION), 2019-7-2 - 2019-7-5, Ottawa.

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Abstract

In this paper, we show the spooky effect at a distance that arises in optimal estimation of multiple targets with the optimal sub-pattern assignment (OSPA) metric. This effect refers to the fact that if we have several independent potential targets at distant locations, a change in the probability of existence of one of them can completely change the optimal estimation of the rest of the potential targets. As opposed to OSPA, the generalised OSPA (GOSPA) metric ($α=2$) penalises localisation errors for properly detected targets, false targets and missed targets. As a consequence, optimal GOSPA estimation aims to lower the number of false and missed targets, as well as the localisation error for properly detected targets, and avoids the spooky effect.

Item Type:	Conference Item (Unspecified)
Additional Information:	This paper received the third best paper award at the 22nd International Conference on Information Fusion, Ottawa, Canada, 2019. Matlab code of the GOSPA metric can be found in https://github.com/abusajana/GOSPA . Additional information on MTT can be found in the online course https://www.youtube.com/channel/UCa2-fpj6AV8T6JK1uTRuFpw
Uncontrolled Keywords:	Multiple target tracking, optimal estimation, metrics, random finite sets
Depositing User:	Symplectic Admin
Date Deposited:	12 Jun 2019 10:20
Last Modified:	16 Jun 2026 07:19
DOI:	10.23919/fusion43075.2019.9011259
Related Websites:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3045514
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