Fifth Generation (5G) mobile technology is the latest generation of mobile networks that is
being deployed to facilitate emerging applications and services. 5G offers enhanced mobile …

Intelligent Automation (IA) in automobiles combines robotic process automation and artificial
intelligence, allowing digital transformation in autonomous vehicles. IA can completely …

As a distributed deep learning paradigm, federated learning (FL) provides a powerful tool for
the accurate and efficient processing of on-board data in vehicular edge computing (VEC) …

In mobile environments, with the help of larger bandwidths and cloud computing solutions,
any task can be offloaded from a mobile user equipment to be handled remotely. However …

In autonomous vehicles (AVs), early warning systems rely on collision prediction to ensure
occupant safety. However, state-of-the-art methods using deep convolutional networks …

In this paper, we explore the feasibility of solar-powered road-side unit (SRSU)-assisted
vehicular edge computing (VEC) system, where SRSU is equipped with small cell base …

Despite many recent efforts, accelerating robotic computing is still fundamentally
challenging for two reasons. First, robotics software stack is extremely complicated …

We formulate computation offloading as a decentralized decision-making problem with
autonomous agents. We design an interaction mechanism that incentivizes agents to align …

Intelligent transportation systems (ITS) enable transportation participants to communicate
with each other by sending and receiving messages, so that they can be aware of their …

Autonomous vehicles use multiple sensors, large deep-learning models, and powerful
hardware platforms to perceive the environment and navigate safely. In many contexts …