@inproceedings{522c5c33d883452c9ac4b4c21150d6c0,
title = "Tracking of Maneuvering Targets with Poisson Labeled multi-Bernoulli Tracker",
abstract = "In this paper, the Poisson labeled multi-Bernoulli (PLMB) tracker is exploited to solve the problem of maneuvering target tracking. For avoiding tracking divergence resulting from a single motion model, multiple models (MM) strategy is applied to the PLMB tracker. Specifically, each state of target is coupled with all possible motion models and the model transition is considered throughout the tracking process. Simulation results demonstrate that the proposed MM-PLMB tracker strikes a favorable balance between limited computational resources and high tracking accuracy when compared to state-of-the-art approaches.",
keywords = "jump Markov system, maneuvering target tracking, multiple models, Poisson labeled multi-Bernoulli",
author = "Guchong Li and Tiancheng Li",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 12th IEEE International Conference on Control, Automation and Information Sciences, ICCAIS 2023 ; Conference date: 27-11-2023 Through 29-11-2023",
year = "2023",
doi = "10.1109/ICCAIS59597.2023.10382356",
language = "英语",
series = "Proceedings - 12th IEEE International Conference on Control, Automation and Information Sciences, ICCAIS 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "109--114",
editor = "Tung, \{Truong Xuan\} and Tan, \{Tran Cong\} and Tinh, \{Cao Huu\}",
booktitle = "Proceedings - 12th IEEE International Conference on Control, Automation and Information Sciences, ICCAIS 2023",
}