A Particle Filter Localisation System for Indoor Track Cycling Using an Intrinsic Coordinate Model. - Jiaming Liang 001; Simon J. Godsill (FUSION, 2018)

Bayesian Fusion of Asynchronous Inertial, Speed and Position Data for Object Tracking. - Jiaming Liang 001; Simon J. Godsill (ICASSP, 2019)

Bayesian Intent Prediction for Fast Maneuvering Objects using Variable Rate Particle Filters. - Runze Gan; Jiaming Liang 001; Bashar I. Ahmad; Simon J. Godsill (MLSP, 2019)

On Destination Prediction Based on Markov Bridging Distributions. - Jiaming Liang 001; Bashar I. Ahmad; Runze Gan; Pat Langdon; Robert Hardy; Simon J. Godsill (IEEE Signal Process. Lett., 2019)

Driver and Passenger Identification From Smartphone Data. - Bashar I. Ahmad; Patrick M. Langdon; Jiaming Liang 001; Simon J. Godsill; Mauricio Munoz Delgado; Thomas Popham (IEEE Trans. Intell. Transp. Syst., 2019)

Bayesian approaches to tracking, sensor fusion and intent prediction - Jiaming Liang 001 (2019)

Inferring Dynamic Group Leadership Using Sequential Bayesian Methods. - Qing Li 033; Simon J. Godsill; Jiaming Liang 001; Bashar I. Ahmad (ICASSP, 2020)

Simultaneous Intent Prediction and State Estimation Using an Intent-Driven Intrinsic Coordinate Model. - Jiaming Liang 001; Bashar I. Ahmad; Simon J. Godsill (MLSP, 2020)

Scalable Data Association and Multi-Target Tracking Under a Poisson Mixture Measurement Process. - Qing Li 033; Jiaming Liang 001; Simon J. Godsill (ICASSP, 2022)

An Adaptive and Scalable Multi-Object Tracker Based on the Non-Homogeneous Poisson Process. - Qing Li 033; Runze Gan; Jiaming Liang 001; Simon J. Godsill (IEEE Trans. Signal Process., 2023)

Driver Profiling and Bayesian Workload Estimation Using Naturalistic Peripheral Detection Study Data. - Nermin Caber; Bashar I. Ahmad; Jiaming Liang 001; Simon J. Godsill; Alexandra Bremers; Philip Thomas; David Oxtoby; Lee Skrypchuk (IEEE Trans. Intell. Veh., 2024)