Spooky effect in optimal OSPA estimation and how GOSPA solves it

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 $(\alpha=2)$ 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.

• Publication year

  2019

• Venue

  Fusion

• Publication date

  2019-05-07

• Fields of study

  Mathematics, Computer Science, Engineering

• Identifiers
  DOI 10.23919/fusion43075.2019.9011259arXiv 1908.08815
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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