The Sixth Generation network (6G) can support autonomous driving along with various
vehicular applications like Vehicular Edge Computing (VEC), a distributed computing …

To mitigate the high energy demand of Neural Network (NN) based Autonomous Driving
Systems (ADSs), we consider the problem of offloading NN controllers from the ADS to …

Many recent cloud or edge computing strategies for automotive applications require
transmitting huge amounts of Light Detection and Ranging (LiDAR) data from terminals to …

Autonomous vehicles heavily rely on sensor data to make pivotal driving and traffic
management decisions. However, the reliability of such data can be profoundly impacted by …

The seventeenth-century philosopher John Locke argued that the law of nature obligated
humans not to cause harm (Mujiwati, Y., 2022. The Concept of the State of Nature on Human …

The dynamic collaboration among hyper-connected Autonomous Systems promotes their
evolution towards Autonomous Ecosystems. In order to maintain the safety of such …

IoT (Internet-of-Things) devices require both reliable, ultra-low latency connection and on-
demand access to computing resources in their vicinity. Edge computing can provide nearby …

Vehicular Edge computing requires computational power from connected Edge devices in
the network to process incoming vehicle work requests. This connection and offloading …

Communication and computation services supporting Connected and Automated Vehicles
(CAVs) are characterized by stringent requirements, in terms of response time and reliability …

The advancement of communication technologies in edge computing has led to progress in
various applications, including those that require vehicle-to-vehicle (V2V) and vehicle-to …