Set JPDA algorithm for tracking unordered sets of targets
Paper i proceeding, 2009

In this article we show that traditional tracking algorithms should be adjusted when the objective is to recursively estimate an unordered (unlabeled) set of target state vectors, i.e., when it is not of importance to try to preserve target identities over time. We study scenarios where the number of targets is known, and propose a new version of the joint probabilistic data association (JPDA) filter that we call set JPDA (SJPDA). Simulations show that the new filter outperforms the JPDA in a two-target scenario when evaluated according to the mean optimal subpattern assignment (MOSPA) measure.

JPDA

Tracking

target identity

OSPA

Random finite sets

SJPDA

Författare

Lennart Svensson

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

Daniel Svensson

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

P. Willett

Proceedings of the 12th International Conference on Information Fusion

1187-1194

Ämneskategorier

Signalbehandling

Annan elektroteknik och elektronik

ISBN

978-0-9824-4380-4

Mer information

Skapat

2017-10-07