Aircraft tracking based on fully conventional network and Kalman filter-Reference-Cited by-同舟云学术

Aircraft tracking based on fully conventional network and Kalman filter

Author:

Yang Jiachen¹,Zhao Weirong¹,Han Yurong¹,Ji Chunqi¹,Jiang Bin¹,Zheng Zhihui²,Song Houbing³

Affiliation:

1. School of Electrical and Information Engineering, Tianjin UniversityTianjinPeople's Republic of China

2. Beijing Aerospace Automatic Control InstituteBeijingPeople's Republic of China

3. Department of Electrical, Computer, Software, and Systems EngineeringEmbry‐Riddle Aeronautical UniversityDaytona BeachFL32114USA

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

Reference48 articles.

1. Wearable assistant vision system for visually impaired users based on binocular sensors;Jiang B.;IEEE Internet Things J.,2018

Cited by 13 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. RoMATer: An end-to-end robust multiaircraft tracker with transformer;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

4. Automated Animal Tracking for Behavioral Experiments;Proceedings of the 2022 9th International Conference on Biomedical and Bioinformatics Engineering;2022-11-10

5. Deep Learning for Single-object Tracking: A Survey;2022 IEEE 2nd International Conference on Software Engineering and Artificial Intelligence (SEAI);2022-06-10