Automated driving systems (ADSs) promise a safe, comfortable and efficient driving
experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The …

Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …

Image restoration algorithms are typically evaluated by some distortion measure (eg PSNR,
SSIM, IFC, VIF) or by human opinion scores that quantify perceived perceptual quality. In this …

Driver driving style plays an important role in vehicle energy management as well as driving
safety. Furthermore, it is key for advance driver assistance systems development, toward …

Recently, the advancement in communications, intelligent transportation systems, and
computational systems has opened up new opportunities for intelligent traffic safety, comfort …

For physical activity recognition, smartphone sensors, such as an accelerometer and a
gyroscope, are being utilized in many research studies. So far, particularly, the …

Objective: The aim of this study was to outline a conceptual framework for understanding
driving style and, on this basis, review the state-of-the-art research on driving styles in …

Improving a vehicle driver's performance decreases the damage caused by, and chances of,
road accidents. In recent decades, engineers and researchers have proposed several …

Driving prediction techniques (DPTs) are used to forecast the distributions of various future
driving conditions (FDC), like velocity, acceleration, driver behaviors etc. and the quality of …

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 …