As assisted driving technology advances and vehicle entertainment systems rapidly
develop, future vehicles will become mobile cinemas, where passengers can use various …

Assisted and automated driving functions in vehicles exploit sensor data to build situational
awareness, however, the data amount required by these functions might exceed the …

Autonomous vehicles are at the forefront of future transportation solutions, but their success
hinges on reliable perception. This review paper surveys image processing and sensor …

Autonomous driving systems require extensive data collection schemes to cover the diverse
scenarios needed for building a robust and safe system. The data volumes are in the order …

Precise scene understanding based on perception sensors' data is important for assisted
and automated driving (AAD) functions, to enable accurate decision-making processes and …

Given the promising advances in the field of Assisted and Automated Driving, it is expected
that the roads of the future will be populated by vehicles driven by computers, partially or …

Whilst Deep Neural Networks have been developing swiftly, most of the research has been
focused on RGB image. This type of image has been traditionally optimised for human …

Deploying high-accuracy detection models on lightweight edge devices (eg, drones) is
challenging due to hardware constraints. To achieve satisfactory detection results, a …

 Assisted and automated driving (AAD) systems heavily rely on data collected from
perception sensors, such as cameras. While prior research has explored the quality of …

Advanced driving assistance systems based on only one camera or one RADAR are
evolving into the current assisted and automated driving functions delivering SAE Level 2 …