Automated online recognition of unexpected conditions is an indispensable component of
autonomous vehicles to ensure safety even in unknown and uncertain situations. In this …

Silent data corruption caused by random hardware faults in autonomous vehicle (AV)
computational elements is a significant threat to vehicle safety. Previous research has …

The processing requirement of autonomous vehicles (AVs) for high-accuracy perception in
complex scenarios can exceed the resources offered by the in-vehicle computer, degrading …

As many software systems introduce machine learning for intelligent functions, the reliability
and performance assurance of machine learning systems (MLSs) is becoming an important …

Autonomous machines such as vehicles, drones, and robotic manipulators promise to
transform the world by unleashing humans from repetitive, dangerous, and labor-intensive …

The perception and control modules are typically designed under different principles. For
example, the perception module often relies on object classification that is based on deep …

Micro Aerial Vehicles (MAVs) have seen an outburst in various applications. However, the
limited onboard energy poses a significant challenge for practical deployment, necessitating …

Abstract Autonomous Taxis (ATs) exhibit potential for a smooth and gradual introduction of
Autonomous Vehicles (AVs) to the public while expanding transportation options. Research …