Next generation of autonomous cars level 3 automation , are expected to come in the following years. In these vehicles, the driver does not have to monitor the road and can engage in secondary activities. However, in case of unexpected incidents, the driver must take the control back when notified by the car. This situation is called a takeover, and the vehicle convey the need for takeover via a takeover request. The takeover request can take multiple forms and use different modalities, the more common being haptic, visual and auditory.
These takeovers are dangerous situations that should be treated carefully. Funded by Hasler Foundation. A smart agent was designed, implemented and evaluated to recommend takeover request modalities in order to improve takeover quality. Along the way, several analysis and Machine Learning models were done and disseminated. Capallera, M. Owner manuals review and taxonomy of ADAS limitations in partially automated vehicles.
Meteier, Q. Workshop on explainable AI in automated driving: a user-centered interaction approach. Secondary task and situation awareness, a mobile application for conditionally automated vehicles.
Can we predict driver distraction without driver psychophysiological state? Designing an AI-companion to support the driver in highly autonomous cars.
Springer, Cham. Inside the cockpit of semi-autonomous cars of tomorrow. September-November Frontiers in Computer Science , 3. AHFE International. Physiological reports , 10 10 , e Making autonomous vehicles safer. Context and challenges Next generation of autonomous cars level 3 automation , are expected to come in the following years.
