| Unscented Kalman filter with process noise covariance estimation for vehicular INS/GPS integration system G Hu, B Gao, Y Zhong, C Gu Information Fusion 64, 194-204, 2020 | 173 | 2020 |
| A new direct filtering approach to INS/GNSS integration G Hu, W Wang, Y Zhong, B Gao, C Gu Aerospace Science and Technology 77, 755-764, 2018 | 168 | 2018 |
| Maximum likelihood principle and moving horizon estimation based adaptive unscented Kalman filter B Gao, S Gao, G Hu, Y Zhong, C Gu Aerospace Science and Technology 73, 184-196, 2018 | 132 | 2018 |
| Cubature Kalman filter with both adaptability and robustness for tightly-coupled GNSS/INS integration B Gao, G Hu, Y Zhong, X Zhu IEEE Sensors Journal 21 (13), 14997-15011, 2021 | 104 | 2021 |
| Interacting multiple model estimation-based adaptive robust unscented Kalman filter B Gao, S Gao, Y Zhong, G Hu, C Gu International Journal of Control, Automation and Systems 15, 2013-2025, 2017 | 102 | 2017 |
| Multi-sensor optimal data fusion for INS/GNSS/CNS integration based on unscented Kalman filter B Gao, G Hu, S Gao, Y Zhong, C Gu International Journal of Control, Automation and Systems 16, 129-140, 2018 | 98 | 2018 |
| Modified strong tracking unscented Kalman filter for nonlinear state estimation with process model uncertainty G Hu, S Gao, Y Zhong, B Gao, A Subic International Journal of Adaptive Control and Signal Processing 29 (12 …, 2015 | 93 | 2015 |
| Multi-sensor optimal data fusion based on the adaptive fading unscented Kalman filter B Gao, G Hu, S Gao, Y Zhong, C Gu Sensors 18 (2), 488, 2018 | 84 | 2018 |
| Cubature rule-based distributed optimal fusion with identification and prediction of kinematic model error for integrated UAV navigation B Gao, G Hu, Y Zhong, X Zhu Aerospace Science and Technology 109, 106447, 2021 | 79 | 2021 |
| Model predictive based unscented Kalman filter for hypersonic vehicle navigation with INS/GNSS integration G Hu, L Ni, B Gao, X Zhu, W Wang, Y Zhong IEEE Access 8, 4814-4823, 2019 | 76 | 2019 |
| Robust unscented Kalman filtering with measurement error detection for tightly coupled INS/GNSS integration in hypersonic vehicle navigation G Hu, B Gao, Y Zhong, L Ni, C Gu IEEE Access 7, 151409-151421, 2019 | 59 | 2019 |
| Maximum likelihood-based extended Kalman filter for COVID-19 prediction J Song, H Xie, B Gao, Y Zhong, C Gu, KS Choi Chaos, Solitons & Fractals 146, 110922, 2021 | 53 | 2021 |
| Robust unscented Kalman filter-based decentralized multisensor information fusion for INS/GNSS/CNS integration in hypersonic vehicle navigation G Hu, L Xu, B Gao, L Chang, Y Zhong IEEE Transactions on Instrumentation and Measurement 72, 1-11, 2023 | 52 | 2023 |
| Extended Kalman filter based on stochastic epidemiological model for COVID-19 modelling X Zhu, B Gao, Y Zhong, C Gu, KS Choi Computers in Biology and Medicine 137, 104810, 2021 | 47 | 2021 |
| Distributed recursive filtering for multi-sensor networked systems with multi-step sensor delays, missing measurements and correlated noise J Zhang, S Gao, G Li, J Xia, X Qi, B Gao Signal Processing 181, 107868, 2021 | 45 | 2021 |
| A hypothesis test-constrained robust Kalman filter for INS/GNSS integration with abnormal measurement G Gao, B Gao, S Gao, G Hu, Y Zhong IEEE Transactions on Vehicular Technology 72 (2), 1662-1673, 2022 | 43 | 2022 |
| Modified federated Kalman filter for INS/GNSS/CNS integration G Hu, S Gao, Y Zhong, B Gao, A Subic Proceedings of the Institution of Mechanical Engineers, Part G: Journal of …, 2016 | 42 | 2016 |
| Extended Kalman filter for online soft tissue characterization based on Hunt-Crossley contact model X Zhu, B Gao, Y Zhong, C Gu, KS Choi Journal of the Mechanical Behavior of Biomedical Materials 123, 104667, 2021 | 39 | 2021 |
| A robust cubature Kalman filter with abnormal observations identification using the Mahalanobis distance criterion for vehicular INS/GNSS integration B Gao, G Hu, X Zhu, Y Zhong Sensors 19 (23), 5149, 2019 | 38 | 2019 |
| Matrix weighted multisensor data fusion for INS/GNSS/CNS integration G Hu, S Gao, Y Zhong, B Gao, A Subic Proceedings of the Institution of Mechanical Engineers, Part G: Journal of …, 2016 | 38 | 2016 |
Yongmin ZhongRMIT UniversityZweryfikowany adres z rmit.edu.au
