Preventing truck crashes: A dashcam-based approach for detecting 'microsleep' behavior

Truck drivers unintentionally taking.
Truck drivers unintentionally taking 'microsleeps' of a few seconds can cause terrible traffic accidents, but efforts and technologies aiming to prevent the problem have focused mainly on monitoring driver eye activity while missing a host of other key indicators of the problem.

Three seconds asleep at the wheel

KeepTruckin uses Ambarella AI chips to monitor truck drivers

Comparison of the FORM and Monte‐Carlo approximations

8 Ways A Dual DashCam Benefits Your Fleet

PDF) Automatically Detected Microsleep Episodes in the Fitness-to-Drive Assessment

Probability of accident affect by road camber and road radius. The mean

Crash Risk among Individuals with OSA Compared to Controls

PDF) Fatigue at the wheel: A non-visual approach to truck driver fatigue detection by multi-feature fusion

In foggy weather: maximum speed of the following vehicle for different

HCSS Launches ADPlus Dashcam From: Heavy Construction Systems Specialists, Inc. (HCSS)

Driver Drowsiness Detection System Using Machine Learning - Issuu