Since autonomous driving (AD) is one of the most critical problems in the automobile
industry, it has garnered the interest of many academics in recent years. An AD framework or …

As Deep Neural Networks (DNNs) are increasingly deployed in safety critical and privacy
sensitive applications such as autonomous driving and biometric authentication, it is critical …

Safety and resiliency are essential components of autonomous vehicles. In this research, we
introduce ROSFI, the first robot operating system (ROS) resilience analysis methodology, to …

The Vulnerability-Adaptive Protection Paradigm | Communications of the ACM skip to main
content ACM Digital Library home ACM Association for Computing Machinery corporate …

The next ubiquitous computing platform, following personal computers and smartphones, is
poised to be inherently autonomous, encompassing technologies like drones, robots, and …

The recent development of cloud computing and edge computing shows great promise for
the Connected and Automated Vehicle (CAV), by enabling CAVs to offload their massive on …

With the increasing practicality of autonomous vehicles and drones, the importance of
reliability requirements has escalated substantially. In many instances, traditional system …

As Neural Processing Units (NPU) or accelerators are increasingly deployed in a variety of
applications including safety critical applications such as autonomous vehicle, and medical …

With the continuous improvement of artificial intelligence technology, autonomous driving
technology has been greatly developed. Hence automated driving software has drawn more …

The next ubiquitous computing platform, after personal computers and smartphones, is likely
to be autonomous nature, such as drones, robots, and self-driving cars, which have been …