Sentence examples for drivers detection from inspiring English sources

Warning content only had significant effects on drivers' detection stage.

Therefore, with the application of eye-tracking technology, this research was designed to test several assumptions regarding drivers' detection and perception of roadside elements.

Such measures improve drivers' detection and recognition time in experimental settings but their effect on cyclist safety is inconclusive.

A Cochrane review of 42 trials (updated in 2009) concluded that fluorescent materials improve drivers' detection and recognition of cyclists and pedestrians in the day-time and lamps, flashing lights and retroreflective materials have similar effect in the night-time.

We propose that 'latent driver' detection may help forecast cancer progression and modify personalized drug regimes.

The D-STC framework improves the accuracy of train driver detection and fully guarantees the detection speed for videos.

Detecting microsleeps in real-time and identifying how these episodes of transition between wakefulness and sleep impair driver performance is relevant to the design and implementation of countermeasures such as drowsy driver detection and alerting systems that use EEG technology.

A few reasons why face processing is important are: (1) Photo enhancement: people want to look good in their photos; and (2) Authentication: face recognition  can be used as a form of identification (3) Face analysis for all sorts of applications like drowsy driver detection, video game control, emotion recognition, simulating cosmetic surgery to name a few.

Although potentially applicable to geographic, ecologic, and sociologic driver detection, only a fraction of these data have been processed for analysis on current research infrastructure, and even less is publicly accessible.

"The trial of a driver-fatigue detection system for coach drivers will provide useful further information to help improve coach safety, although it is important the trials are properly scientifically controlled.

In this paper, a driver aggressiveness detection method is presented.