Joint tracking and classification of extended object based on support functions-Reference-Cited by-同舟云学术

Joint tracking and classification of extended object based on support functions

Published:2018-07 Issue:7 Volume:12 Page:685-693
ISSN:1751-8792
Container-title:IET Radar, Sonar & Navigation
language:en
Short-container-title:IET Radar, Sonar & Navigation

Author:

Sun Lifan¹²,Lan Jian³,Li X. Rong⁴

Affiliation:

1. School of Information EngineeringHenan University of Science and TechnologyLuoyang471023People's Republic of China

2. Henan Key Laboratory of Robot and Intelligent SystemsHenan University of Science and TechnologyLuoyang471023People's Republic of China

3. Center for Information Engineering Science Research (CIESR)School of Electronics and Information EngineeringXi'an Jiaotong UniversityXi'an710049People's Republic of China

4. Department of Electrical EngineeringUniversity of New OrleansNew OrleansLA70148USA

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rsn.2017.0499

Reference47 articles.

1. Extended target tracking using polynomials with applications to road‐map estimation;Lundquist C.;IEEE Trans. Aerosp. Electron. Syst.,2011

2. Extended Object Tracking Using Monte Carlo Methods

3. Bernoulli filter for joint detection and tracking of an extended object in clutter

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