Wireless indoor positioning has been extensively studied for the past 2 decades and
continuously attracted growing research efforts in mobile computing context. As the …

Driver distraction, defined as the diversion of attention away from activities critical for safe
driving toward a competing activity, is increasingly recognized as a significant source of …

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 …

This paper summarizes the state of the art in connected vehicles-from the need for vehicle
data and applications thereof, to enabling technologies, challenges, and identified …

Driver drowsiness and distraction are two main reasons for traffic accidents and the related
financial losses. Therefore, researchers have been working for more than a decade on …

Internet-enabled cameras pervade daily life, generating a huge amount of data, but most of
the video they generate is transmitted over wires and analyzed offline with a human in the …

This paper presents a methodology and mobile application for driver monitoring, analysis,
and recommendations based on detected unsafe driving behavior for accident prevention …

Just as it has irrevocably reshaped social life, the fast growth of smartphone ownership is
now beginning to revolutionize the driving experience and change how we think about …

In this article we present SmartRoad, a crowd-sourced road sensing system that detects and
identifies traffic regulators, traffic lights, and stop signs, in particular. As an alternative to …

This paper presents DriveSafe, a new driver safety app for iPhones that detects inattentive
driving behaviors and gives corresponding feedback to drivers, scoring their driving and …