A Gaussian Process based Method for Multiple Model Tracking-Reference-Cited by-同舟云学术

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A Gaussian Process based Method for Multiple Model Tracking

Published:2020-09 Issue: Volume: Page:
ISSN:
Container-title:2020 Sensor Signal Processing for Defence Conference (SSPD)
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Author:

Sun Mengwei,Davies Mike E.,Proudler Ian,Hopgood James R.

Funder

Engineering and Physical Sciences Research Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9271968/9271987/09272174.pdf?arnumber=9272174

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. 基于混合驱动高斯过程学习的强机动多目标跟踪方法;Frontiers of Information Technology & Electronic Engineering;2023-11

2. Online Submodular Coordination With Bounded Tracking Regret: Theory, Algorithm, and Applications to Multi-Robot Coordination;IEEE Robotics and Automation Letters;2023-04

3. Adaptive Kernel Kalman Filter;IEEE Transactions on Signal Processing;2023

4. Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking Over Wireless Sensor Networks;IEEE Journal of Selected Topics in Signal Processing;2023-01

5. A joint model and data driven track segment association algorithm for manoeuvring target tracking;IET Radar, Sonar & Navigation;2022-06-20

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