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- Guerriero, Marco, et al.
(författare)
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Shooting two birds with two bullets: how to find Minimum Mean OSPA estimates
- 2010
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Ingår i: Proceedings of the 13th International Conference on Information Fusion.
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Konferensbidrag (refereegranskat)abstract
- Most area-defense formulations followfrom the assumption that threats must first be identifiedand then neutralized. This is reasonable, but inherentto it is a process of labeling: threat A must be identifiedand then threat B, and then action must be taken.This manuscript begins from the assumption that suchlabeling (A & B) is irrelevant. The problem naturallydevolves to one of Random Finite Set (RFS) estimation:we show that by eschewing any concern of targetlabel we relax the estimation procedure, and it is perhapsnot surprising that by such a removal of constraint (oflabeling) performance (in terms of localization) is enhanced.A suitable measure for the estimation of unlabeledobjects is the Mean OSPA (MOSPA). We derive ageneral algorithm which provided the optimal estimatorwhich minimize the MOSPA. We call such an estimatora Minimum MOSPA (MMOSPA) estimator.
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