Eye Tracking for Automotive

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Reveal driver behavior and validate in-car systems – eye tracking is central to vehicle development and improving the driver experience.

Validation of Advanced Driver Assistant Systems

Validation of Advanced Driver Assistant Systems

In order to assess the human machine interface of Advanced Driver Assistant Systems (ADAS), designers and engineers seek to analyze dynamic vehicle parameters and the driver’s perception and reactions to ambient events simultaneously. The combined measurement of human attention and machine data is crucial to develop systems which are supporting and not distracting the driver and which are in-line with international NHTS standards.

Herbert Wernigg

A critical part of the design process is how humans interact with the car’s ADAS activities. The SMI/DEWESoft automotive measurement platform makes it possible to track, measure and report back on the activity of drivers in a qualitative and quantifiable way. The aggregated results of the “off-road glance duration analysis” directly provide the numbers needed in order to fulfill the required NHTSA Driver Distraction Guidelines for in-Vehicle Electronic Devices.

Herbert Wernigg

Herbert Wernigg,
CEO, Dewesoft

Eye tracking and autonomous driving

Eye tracking and autonomous driving

Being able to measure eye movements as part of a broader understanding of driver attentiveness, levels of distraction, and fatigue, helps the creators of autonomous systems better understand the potential shortcomings of that process which involves the autonomous driving system relinquishing control to a human being.