We are living in a world where massive end devices perform computing everywhere and
everyday. However, these devices are constrained by the battery and computational …

The advent of in-vehicle networking systems as well as state-of-the-art sensors and
communication technologies have facilitated the collection of large volume and almost real …

Distracted driving is among the most important reasons for traffic accidents today. Recently,
there is an increasing interest in building driver assistance systems that detect the actions of …

In this paper, we envision the future connected and autonomous vehicles (CAVs) as a
sophisticated computer on wheels, with substantial on-board sensors as data sources and a …

Connected and autonomous vehicles (CAVs) have recently attracted a significant amount of
attention both from researchers and industry. Numerous studies targeting algorithms …

The modern automotive system, based on the convergence of information and
communication technologies, is equipped with various functions to ensure vehicle safety …

Human driving behavior can be a unique fingerprint to identify individual drivers and can be
used for vehicle theft detection. Prior research often uses supervised learning to classify …

The way people drive vehicles has a great impact on traffic safety, fuel consumption, and
passenger experience. Many research and commercial efforts today have primarily …

In the last 5 years, with the vast improvements in computing technologies, eg, sensors,
computer vision, machine learning, and hardware acceleration, and the wide deployment of …

The recent edge computing infrastructure introduces a new computing model that works as a
complement of the traditional cloud computing. The edge nodes in the infrastructure reduce …