According to the World Health Organization (WHO) report, the number of road traffic deaths
have been continuously increasing since last few years though the rate of deaths relative to …

Smartphone use while driving causes car crashes, injuries and high death rates. To date,
there is little research into what motivates frequent smartphone use while driving. In this …

In-car human activity recognition opens a new opportunity toward intelligent driving behavior
detection and touchless human-car interaction. Among the many sensing technologies (eg …

Driver behaviour monitoring is a broad area of research, with a variety of methods and
approaches. Distraction from the use of electronic devices, such as smartphones for texting …

With the availability of various sensors in the smartphone, identifying a locomotion mode
becomes convenient and effortless in recent years. Information about locomotion mode …

One of the important factors leading to traffic accidents is the abnormal driving behavior of
drivers. Early detection of abnormal driving behaviors can effectively reduce the occurrence …

Autonomous mobile robots use computational techniques of great complexity so that to
allow navigation in various types of dynamic environments, avoiding collisions with …

in earlier days, people uses foot or animal cart for moving from one place to another. Now
days, variety of vehicles are introduced by human being for the different purposes like cycle …

A new in-vehicle phone localization scheme, called DAPL (D etection and A larming of in-
vehicle P hone L ocation), is proposed to determine the locations of smartphones inside a …

Distracted driving is the most common cause of traffic accidents. According to a World Health
Organization report, the number of traffic accidents has been increasing in recent years. To …