Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving
and transportation systems to digitize and synergize connected automated vehicles …

The artificial intelligence (AI) revolution offers significant opportunities to capitalise on the
growth of digitalisation and has the potential to enable the 'system of systems' approach …

End-to-end approaches are one of the most promising solutions for autonomous vehicles
(AVs) decision-making. However, the deployment of these technologies is usually …

Recently, inferring lane change intention has received considerable attention. Due to the
high nonlinearity and complexity of traffic contexts, traditional methods cannot satisfy the …

Lane change (LC) is one of the safety-critical manoeuvres in highway driving according to
various road accident records. Thus, reliably predicting such manoeuvre in advance is …

The development of intelligent connected technology provides a platform for
multidimensional information interaction and makes the recognition of a specific lane …

Lane change and crash risk prediction are critical technologies for autonomous driving. An
attention-based LSTM model is proposed in this paper for lane change behavior prediction …

We consider the task of driver gaze prediction: estimating where the location of the focus of a
driver should be, based on a raw video of the outside environment. In practice, we output a …

Intelligent assisted driving is an important application in vehicular edge computing networks
(VECNs). In the intelligent transportation system (ITS), a group of moving vehicle users need …

Vehicle-to-Infrastructure (V2I) communication has provided a solution for the improvement of
the traffic efficiency of smart city intersections. For example, turning maneuvers prediction at …