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ORCIDYongquan Zhang
- > Home > Persons > Yongquan Zhang
Publications
- 2024
[j41]Yongquan Zhang, Aomen Shang, Wenbo Zhang, Zekun Liu, Zhibin Li, Hongbing Ji, Zhenzhen Su:
A measurement fusion algorithm of active and passive sensors based on angle association for multi-target tracking. Inf. Fusion 106: 102267 (2024)- [j40]Xuan Cheng
, Hongbing Ji, Yongquan Zhang:
Multiple Extended Target Joint Tracking and Classification Based on GPs and LMB Filter. IEEE Signal Process. Lett. 31: 1139-1143 (2024) - [j39]Zhaodong Chen, Hongbing Ji, Yongquan Zhang, Zhigang Zhu, Yifan Li:
High-Resolution Feature Pyramid Network for Small Object Detection on Drone View. IEEE Trans. Circuits Syst. Video Technol. 34(1): 475-489 (2024) - 2023
- [j36]Xuan Cheng, Hongbing Ji, Yongquan Zhang:
Multiple extended target tracking based on gamma box particle and labeled random finite sets. Digit. Signal Process. 134: 103902 (2023) - 2021
- [j33]Yiduo Liu, Hongbing Ji, Yongquan Zhang:
Measurement transformation algorithm for extended target tracking. Signal Process. 186: 108129 (2021) - [c14]Xuan Cheng, Hongbing Ji, Yongquan Zhang, Wenbo Zhang, Yiming Xu:
Track Estimation and Maintenance for the BP-CBMeMBer Filter. ICCAIS 2021: 855-860 - 2019
- [j29]Qi Hu, Hongbing Ji, Yongquan Zhang:
Tracking multiple extended targets with multi-Bernoulli filter. IET Signal Process. 13(4): 443-455 (2019) - [c12]Zhenzhen Su, Hongbing Ji, Yongquan Zhang:
A Poisson multi-Bernoulli filter with target spawning. FUSION 2019: 1-6 - [c11]Xuan Cheng, Hongbing Ji, Yongquan Zhang:
Improved Box Particle CPHD Algorithm for Group Target Tracking. ICCAIS 2019: 1-7 - 2018
- [j28]Mingjie Wang, Hongbing Ji, Yongquan Zhang, Xiaolong Hu:
A Student's T Mixture Cardinality-Balanced Multi-Target Multi-Bernoulli Filter With Heavy-Tailed Process and Measurement Noises. IEEE Access 6: 51098-51109 (2018) - [j26]Qi Hu, Hongbing Ji, Yongquan Zhang:
A standard PHD filter for joint tracking and classification of maneuvering extended targets using random matrix. Signal Process. 144: 352-363 (2018) - [j25]Yongquan Zhang, Hongbing Ji, Xinbo Gao, Qi Hu:
An ellipse extended target CBMeMBer filter using gamma and box-particle implementation. Signal Process. 149: 88-102 (2018) - 2017
- [j21]Yongquan Zhang, Hongbing Ji, Qi Hu:
A box-particle implementation of standard PHD filter for extended target tracking. Inf. Fusion 34: 55-69 (2017) - [c8]Qi Hu, Hongbing Ji, Yongquan Zhang:
An improved extended state estimation approach for maneuvering target tracking using random matrix. FUSION 2017: 1-7 - [c7]Mingjie Wang, Hongbing Ji, Xiaolong Hu, Yongquan Zhang:
Gaussian mixture particle flow probability hypothesis density filter. FUSION 2017: 1-8 - 2016
- [j18]Yongquan Zhang, Hongbing Ji:
A robust and fast partitioning algorithm for extended target tracking using a Gaussian inverse Wishart PHD filter. Knowl. Based Syst. 95: 125-141 (2016) - 2015
- [j15]Wenbo Zhang, Hongbing Ji, Guisheng Liao, Yongquan Zhang:
A novel extreme learning machine using privileged information. Neurocomputing 168: 823-828 (2015) - [j13]Zhenhua Fan, Hongbing Ji, Yongquan Zhang:
Iterative particle filter for visual tracking. Signal Process. Image Commun. 36: 140-153 (2015) - 2014
- [j12]Yongquan Zhang, Hongbing Ji:
Robust Bayesian partition for extended target Gaussian inverse Wishart PHD filter. IET Signal Process. 8(4): 330-338 (2014) - [j11]Yongquan Zhang, Hongbing Ji, Wenbo Zhang:
TPPFAM: Use of threshold and posterior probability for category reduction in fuzzy ARTMAP. Neurocomputing 124: 63-71 (2014) - [j9]Yongquan Zhang, Hongbing Ji:
Gaussian mixture reduction based on fuzzy ART for extended target tracking. Signal Process. 97: 232-241 (2014) - 2013
- [j8]Yongquan Zhang, Hongbing Ji:
A novel fast partitioning algorithm for extended target tracking using a Gaussian mixture PHD filter. Signal Process. 93(11): 2975-2985 (2013) - [j7]Yongquan Zhang, Hongbing Ji:
A global difference measure for the reduction of Gaussian inverse Wishart mixtures. Signal Process. 93(11): 3133-3142 (2013)
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