Real-time face & eye tracking and blink detection using event cameras

C Ryan, B O'Sullivan, A Elrasad, A Cahill, J Lemley… - Neural Networks, 2021 - Elsevier
Event cameras contain emerging, neuromorphic vision sensors that capture local-light​
intensity changes at each pixel, generating a stream of asynchronous events. This way of …

[HTML][HTML] Using contextual data to predict risky driving events: A novel methodology from explainable artificial intelligence

L Masello, G Castignani, B Sheehan, M Guillen… - Accident Analysis & …, 2023 - Elsevier
Usage-based insurance has allowed insurers to dynamically tailor insurance premiums by
understanding when and how safe policyholders drive. However, telematics information can …

[HTML][HTML] On the impact of advanced driver assistance systems on driving distraction and risky behaviour: An empirical analysis of irish commercial drivers

L Masello, B Sheehan, G Castignani… - Accident Analysis & …, 2023 - Elsevier
Advanced driver assistance systems (ADAS) present promising benefits in mitigating road
collisions. However, these benefits are limited when risky drivers continue engaging in …

End-to-end autonomous driving risk analysis: A behavioural anomaly detection approach

C Ryan, F Murphy, M Mullins - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Autonomous vehicles (AV) have advanced considerably over the past decade and their
potential to reduce road accidents is without equal. That said, the evolution towards fully …

Regulatory and technical constraints: An overview of the technical possibilities and regulatory limitations of vehicle telematic data

K McDonnell, F Murphy, B Sheehan, L Masello… - Sensors, 2021 - mdpi.com
A telematics device is a vehicle instrument that comes preinstalled by the vehicle
manufacturer or can be added later. The device records information about driving behavior …

[HTML][HTML] A review of security attacks and intrusion detection in the vehicular networks

T Nandy, RM Noor, R Kolandaisamy, MYI Idris… - Journal of King Saud …, 2024 - Elsevier
With the proliferation of Vehicular Ad Hoc Networks (VANETs), ensuring the security and
integrity of communication within these networks has become a paramount concern. This …

[HTML][HTML] Automated food safety early warning system in the dairy supply chain using machine learning

N Liu, Y Bouzembrak, LM Van den Bulk, A Gavai… - Food Control, 2022 - Elsevier
Traditionally, early warning systems for food safety are based on monitoring targeted food
safety hazards. Optimal early warning systems, however, should identify signals that …

Feasibility of deep learning algorithms for reporting in routine spine magnetic resonance imaging

KU LewandrowskI, N Muraleedharan… - International journal of …, 2020 - ijssurgery.com
Background: Artificial intelligence is gaining traction in automated medical imaging analysis.
Development of more accurate magnetic resonance imaging (MRI) predictors of successful …

Indirect shared control strategy for human-machine cooperative driving on hazardous curvy roads

X Zhao, Z Yin, Z He, L Nie, K Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Effective and friendly human-machine cooperative driving is considered as a feasible
solution to filling the gap between assisted driving and highly automated driving. This paper …

Spatial risk modelling of behavioural hotspots: Risk-aware path planning for autonomous vehicles

C Ryan, F Murphy, M Mullins - Transportation research part A: policy and …, 2020 - Elsevier
Autonomous vehicles (AVs) are expected to considerably improve road safety. That said,
accident risk will continue to inflict societal costs. The ability to manage and measure these …