4 papers
IMMNet: Hybrid Fusion of Model-based and Data-driven Approaches for Maneuvering Target Tracking
Yixuan Zhao, Chaoqun Yang, Lin Gao +2
Maneuvering target tracking in three-dimensional space remains a challenging problem due to complex motion dynamics and model mismatch. To address this, this paper proposes a hybri…
An Extended Object Poisson Multi-Bernoulli Filter with Zero-Inflated Poisson Measurement Model Using Belief Propagation
Xueqi Qiu, Yuxuan Xia, Hyowon Kim +1
This paper presents an efficient implementation of the extended object Poisson multi-Bernoulli (PMB) filter under the zero-inflated Poisson (ZIP) object measurement model using par…
Event-Triggered Distributed Target Tracking via PRIMEX
Yuxuan Xia, Kuo-Chu Chang, Xueqi Qiu +3
PRIMEX (prime-based graph encoding and extraction) is a recently proposed framework for scalable distributed fusion. In PRIMEX, the information pedigree of state estimates or proba…
Augmented LRFS-based Filter: Holistic Tracking of Group Objects
Chaoqun Yang, Xiaowei Liang, Zhiguo Shi +2
This paper addresses the problem of group target tracking (GTT), wherein multiple closely spaced targets within a group pose a coordinated motion. To improve the tracking performan…