Trajectory prediction in traffic scenes involves accurately forecasting the behaviour of
surrounding vehicles. To achieve this objective it is crucial to consider contextual …

Deep learning methods have made remarkable breakthroughs in machine learning in
general and in automated driving (AD) in particular. However, there are still unsolved …

Motion prediction and planning are key components to enable autonomous driving.
Although high definition (HD) maps provide important contextual information that constrains …

Objectives High definition map (HDM) is the “sensor” for automated driving (AD), which
integrates the real-time data collected by various sensors and the prior data collected in the …

Autonomous vehicle (AV) technologies, coupled with the rapid growth of the internet of
things (IoT), have ushered in an era of intelligent mobility. This evolution holds the potential …

Context-awareness (CA) has become an evolving trend, especially in the domain of Internet
of Things (IoT). With the progress of IoT, the necessity for accessing real-time contextual …

In Smart City applications, urban mobility involves complex interactions between traffic
infrastructure, diverse road users, and physical environment. This paper addresses the …