Variational Gaussian Mixture Model for Tracking Multiple Extended Targets or Unresolvable Group Targets in Closely Spaced Scenarios

Many multi-target tracking applications (e.g., tracking multiple targets with LiDAR or millimeter-wave radar) are challenged by closely spaced targets. In this work, we propose a method for the tracking of multiple extended targets or unresolvable group targets in such scenarios. The approach builds...

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Autors principals:	Yuanhao Cheng, Yunhe Cao, Tat-Soon Yeo, Yulin Zhang, Jie Fu
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2025-11-01
Col·lecció:	Remote Sensing
Matèries:	extended target tracking unresolvable group target tracking multiplicative error model cardinality probability hypothesis density variational Gaussian mixture model
Accés en línia:	https://www.mdpi.com/2072-4292/17/22/3696
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