Lévy state-space models for tracking and intent prediction of highly maneuverable objects R Gan, BI Ahmad, SJ Godsill
IEEE Transactions on Aerospace and Electronic Systems 57 (4), 2021
39 2021 An adaptive and scalable multi-object tracker based on the non-homogeneous Poisson process Q Li, R Gan, J Liang, SJ Godsill
IEEE Transactions on Signal Processing 71, 105-120, 2023
30 2023 Cooperative communication framework design for the unmanned aerial vehicles-unmanned surface vehicles formation Y Ma, Y Zhao, X Qi, Y Zheng, R Gan
Advances in Mechanical Engineering 10 (5), 1687814018773668, 2018
27 2018 Modeling intent and destination prediction within a Bayesian framework: Predictive touch as a usecase R Gan, J Liang, BI Ahmad, S Godsill
Data-Centric Engineering 1, e12, 2020
22 2020 On destination prediction based on Markov bridging distributions J Liang, BI Ahmad, R Gan, P Langdon, R Hardy, S Godsill
IEEE Signal Processing Letters 26 (11), 1663-1667, 2019
19 2019 Bayesian intent prediction for fast maneuvering objects using variable rate particle filters R Gan, J Liang, BI Ahmad, S Godsill
2019 IEEE 29th International Workshop on Machine Learning for Signal …, 2019
15 2019 A variational Bayes association-based multi-object tracker under the non-homogeneous Poisson measurement process R Gan, Q Li, S Godsill
2022 25th International Conference on Information Fusion (FUSION), 1-8, 2022
14 2022 New insights into airfoil sail selection for sail-assisted vessel with computational fluid dynamics simulation Y Ma, H Bi, R Gan, X Li, X Yan
Advances in Mechanical Engineering 10 (4), 1687814018771254, 2018
12 2018 R Gan, S Godsill
2020 IEEE 23rd International Conference on Information Fusion (FUSION), 1-7, 2020
7 2020 Variational tracking and redetection for closely-spaced objects in heavy clutter R Gan, Q Li, SJ Godsill
IEEE Transactions on Aerospace and Electronic Systems, 2024
5 2024 A scalable Rao-Blackwellised sequential MCMC sampler for joint detection and tracking in clutter Q Li, R Gan, S Godsill
2023 26th International Conference on Information Fusion (FUSION), 1-8, 2023
5 2023 Conditionally factorized variational Bayes with importance sampling R Gan, S Godsill
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
5 2022 Consensus-based distributed variational multi-object tracker in multi-sensor network Q Li, R Gan, S Godsill
2023 Sensor Signal Processing for Defence Conference (SSPD), 1-5, 2023
4 2023 Variational tracking and redetection for closely-spaced objects in heavy clutter: Supplementary materials R Gan, Q Li, S Godsill
arXiv preprint arXiv:2309.01774, 2023
2 2023 Decentralised Variational Inference Frameworks for Multi-object Tracking on Sensor Network Q Li, R Gan, S Godsill
arXiv preprint arXiv:2408.13689, 2024
2024 Implementation of Non-Gaussian Motion Models Within Stone Soup ZY Chong, H Pritchett, Q Li, R Gan, Y Kındap, S Godsill
2024 27th International Conference on Information Fusion (FUSION), 1-8, 2024
2024 Decentralised Gradient-based Variational Inference for Multi-sensor Fusion and Tracking in Clutter Q Li, R Gan, S Godsill
2024 27th International Conference on Information Fusion (FUSION), 1-7, 2024
2024 Stochastic Modelling and Approximate Bayesian Inference: Applications in Object Tracking and Intent Analysis R Gan
2023 SPECIAL SECTION ON META-LEVEL AND ADVERSARIAL TRACKING R Rezaie, XR Li, VP Jilkov, R Gan, BI Ahmad, SJG Godsill, Q Li, ...
Simon GodsillUniversity of CambridgeVahvistettu sähköpostiosoite verkkotunnuksessa eng.cam.ac.uk
