In this paper the various driving style analysis solutions are investigated. An in-depth
investigation is performed to identify the relevant machine learning and artificial intelligence …

Human factors are the primary catalyst for traffic accidents. Among different factors, fatigue,
distraction, drunkenness, and/or recklessness are the most common types of abnormal …

Driver behavior monitoring system as Intelligent Transportation Systems (ITS) have been
widely exploited to reduce the traffic accidents risk. Most previous methods for monitoring …

6,529,723 B1 3/2003 Bentley 2012, 0004933 A1 1/2012 Foladare et al. 6,594,579 B1
7/2003 Lowrey et al. 2012/0010906 A1 1/2012 Foladare et al. 6,636,790 B1 10/2003 …

Today's smartphones and mobile devices typically embed advanced motion sensors. Due to
their increasing market penetration, there is a potential for the development of distributed …

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 …

Wearable medical sensors (WMSs) are garnering ever-increasing attention from both the
scientific community and the industry. Driven by technological advances in sensing, wireless …

In this paper, we present an efficient and robust GPS-aided visual inertial odometry (GPS-
VIO) system that fuses IMU-camera data with intermittent GPS measurements. To perform …

The proliferation of connected mobile devices together with advances in their sensing
capacity has enabled a new distributed telematics platform. In particular, smartphones can …

Detecting aggressive driving behavior is essential for safe transport systems as it leads to
the awareness of risks of accidents. Using smartphone-equipped sensors would be …