In the near future, autonomous vehicles with full self-driving features will populate our public
roads. However, fully autonomous cars will require robust perception systems to safely …

Recently, the advanced driver assistance system (ADAS) of autonomous vehicles (AVs) has
offered substantial benefits to drivers. Improvement of passenger safety is one of the key …

The same features of road markings–retroreflectivity and daytime visibility–are the key
parameters for their recognition by both human drivers and for machine vision (MV) utilised …

Safety validation of automated driving functions is a major challenge that is partly tackled by
means of simulation-based testing. The virtual validation approach always entails the …

The reliability of autonomous driving sensing systems impacts the overall safety of the
driving system. However, perception system fault diagnosis is currently a weak area of …

Driven/driving shafts are the most important portion of rotating devices. Misdiagnosis or late
diagnosis of these components could result in severe vibrations, defects in other parts …

In this work, we propose a fault detection strategy for wireless sensor networks (WSNs)
called Trend Correlation based Fault Detection strategy (TCFD). This strategy can detect the …

Smart electric vehicles (EVs) are attractive because of their clean, zero-emission, low impact
on the environment whilst providing a safer and smoother riding experience. To provide the …

Lidar is an important component of the perception suite for automated systems. The effects
of vibration on lidar point clouds are mostly unknown, despite the lidar's wide adaption and …

The vehicle's perception sensors radar, lidar and camera, which must work continuously and
without restriction, especially with regard to automated/autonomous driving, can lose …