RideBuddy recognised for leveraging AI, sensor fusion and real-time analytics to transform corporate mobility into a ...
Motor1.com on MSN
The IIHS tells us which driver aids actually work—and which don't
Motor1 visited the IIHS Vehicle Research Center in Virginia to learn why some driver-assistance systems may actually increase distraction.
Abstract: The research work about driving drowsiness detection algorithm has great significance to improve traffic safety. Presently, there are many fruits and literature about driving drowsiness ...
Biometric technologies are reshaping the possibilities for safety measures in the automotive sector with the likes of Smart Eye, Sony Semiconductor Solutions, trinamiX and WITTE Automotive fueling the ...
The new OX05C sensor, part of OMNIVISION’s Nyxel near-infrared (NIR) technology line, was launched at the AutoSens Europe conference in Barcelona, and underscores the growing demand for sophisticated ...
This research presents a Driver Drowsiness Detection System (DDDS) that uses a Convolutional Neural Network (CNN) to improve road safety. The system uses a vast dataset of 97,860 images from the ...
Driver drowsiness or fatigue is among the most important factors that cause traffic accidents; therefore, a monitoring system is necessary to detect the state of a driver drowsiness or fatigue. In ...
Every year, thousands of lives are lost due to drowsy driving, with research suggesting that nearly 40% of highway accidents are caused by drivers dozing off at the wheel. But what if technology could ...
Fatigued drivers are one of the most common hazards on the road, but sleepy-heads on commercial wheels are to get AI-assisted safety prompts courtesy of biometric-tracking technology. The tech ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results