6 citations · 7 across the 2 of their papers we have counts for
6 papers
Integrated Gaussian Processes for Robust and Adaptive Multi-Object Tracking
Fred Lydeard, Bashar I. Ahmad, Simon Godsill
This paper presents a computationally efficient multi-object tracking approach that can minimise track breaks (e.g., in challenging environments and against agile targets), learn t…
Joint Object Tracking and Intent Recognition
Jiaming Liang, Bashar I. Ahmad, Simon Godsill
This paper presents a Bayesian framework for inferring the posterior of the augmented state of a target, incorporating its underlying goal or intent, such as any intermediate waypo…
Driver Profiling and Bayesian Workload Estimation Using Naturalistic Peripheral Detection Study Data
Nermin Caber, Bashar I. Ahmad, Jiaming Liang +5
Monitoring drivers' mental workload facilitates initiating and maintaining safe interactions with in-vehicle information systems, and thus delivers adaptive human machine interacti…
A Survey of Wideband Spectrum Sensing Algorithms for Cognitive Radio Networks and Sub-Nyquist Approaches
Bashar I Ahmad
Cognitive Radio (CR) networks presents a paradigm shift aiming to alleviate the spectrum scarcity problem exasperated by the increasing demand on this limited resource. It promotes…
If and When a Driver or Passenger is Returning to Vehicle: Framework to Infer Intent and Arrival Time
Bashar I. Ahmad, Patrick M. Langdon, Simon J. Godsill +2
This paper proposes a probabilistic framework for the sequential estimation of the likelihood of a driver or passenger(s) returning to the vehicle and time of arrival, from the ava…
Bayesian Intent Prediction in Object Tracking Using Bridging Distributions
Bashar I. Ahmad, James K. Murphy, Patrick M. Langdon +1
In several application areas, such as human computer interaction, surveillance and defence, determining the intent of a tracked object enables systems to aid the user/operator and…