There is currently a huge interest around autonomous vehicles from both industry and
academia. This is mainly due to recent advances in machine learning and deep learning …

Intelligent unmanned systems have important applications, such as pesticide-spraying in
agriculture, robot-based warehouse management systems, and missile-firing drones. The …

In the context of autonomous vehicles on highways, one of the first and most important tasks
is to localize the vehicle on the road. For this purpose, the vehicle needs to be able to take …

The perception-driven approach and end-to-end system are two major vision-based
frameworks for self-driving cars. However, it is difficult to introduce attention and historical …

This paper surveys a number of recent developments in modern Global Navigation Satellite
Systems (GNSS) and investigates the possible impact on autonomous driving architectures …

Nowadays Convolutional Neural Networks (CNNs) are being employed in a wide range of
industrial technologies for a variety of sectors, such as medical, automotive, aviation …

In the past decade, autonomous vehicle systems (AVS) have advanced at an exponential
rate, particularly due to improvements in artificial intelligence, which have had a significant …

Aerospace welds are non-destructively evaluated (NDE) during manufacturing to identify
defective parts that may pose structural risks, often using digital radiography. The analysis of …

In a carbon-constrained world, future uses of nuclear power technologies can contribute to
climate change mitigation as the installed electricity generating capacity and range of …

Advanced Driver-Assistance Systems (ADASs) are currently gaining particular attention in
the automotive field, as enablers for vehicle energy consumption, safety, and comfort …