Cutting through the hype: measuring driver attention and actual driver take-over times in automated driving
Keywords: Intelligent Transport Systems in Vehicles, Distraction & Inattention, Autonomous Vehicles
Submission Date: 2018 Conference: ARSC
The transition between manual and automated modes is one of the primary safety concerns in semi-automated driving. This project directly addresses this concern by taking in-depth measurements from drivers operating a Tesla vehicle and responding to take-over requests in on-road driving conditions. The data collected via our driver monitoring system and other sensing technologies is being used to measure driver engagement during semi-automated driving and support a transition based on the engagement measure. These data will feed directly into the development of our next generation driver monitoring systems to improve the driver experience and safety in automated vehicles.