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 …

Technology for electric vehicles (EVs) is a developing subject that offers numerous
advantages, such as reduced operating costs. Since the goal of EVs has always been to …

Driver identification is very important to realizing customized service for drivers and road
traffic safety for electric vehicles and has become a research hotspot in the field of modern …

Driver identification has shown sustainable development in recent years in a wide variety of
applications including but not limited to security, personalization, fleet management …

Driver identification has emerged as an active field of study to further personalize the
integrated advanced driver-assistance systems into intelligent vehicles, provide security and …

High-level scene understanding and situational awareness are fundamental for autonomous
vehicles before being widely used on public roads in a thoroughly efficient and safe manner …

Reliably anticipating the future behavior of surrounding vehicles is critical for the safe
operation of the Connected Automated Vehicles (CAV) and improves traffic safety. This task …

Driver identification systems that use deep-neural-network-based sequential models have
been studied for personalized intelligent vehicles. After a vehicle starts moving for a trip, the …

Industrial vehicles' activities are rather heterogeneous and depend on vehicle's type, model,
and context of usage. Vehicles' workload is usually summarized by means of standard …

Driver identification refers to the process whose primary purpose is identifying the person
behind the steering wheel using collected information about the driver him/herself. The …