Tracking Ground Targets with a Road Constraint Using a GMPHD Filter

The Gaussian mixture probability hypothesis density (GMPHD) filter is applied to the problem of tracking ground moving targets in clutter due to its excellent multitarget tracking performance, such as avoiding measurement-to-track association, and its easy implementation. For the existing GMPHD-base...

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Vydáno v:	Sensors (Basel, Switzerland) Ročník 18; číslo 8; s. 2723
Hlavní autoři:	Zheng, Jihong, Gao, Meiguo
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 18.08.2018 MDPI
Témata:	Algorithms cardinalized PHD filter Control theory Coordinate transformations directional process noise Game theory Gaussian mixture probability hypothesis density filter ground moving target tracking Hypotheses International conferences labeled multi-Bernoulli filter Sensors state constraint Beijing China China state constraint Gaussian mixture probability hypothesis density filter cardinalized PHD filter labeled multi-Bernoulli filter ground moving target tracking directional process noise
ISSN:	1424-8220, 1424-8220
On-line přístup:	Získat plný text
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