Studies of Human Machine Interface concepts for optimised mode awareness in Assisted/Highly automated driving.

Driver monitoring studies using cameras, wearables or microwave sensing technologies in naturalistic driving. 

Naturalistic studies of driver interaction with assisted driving technologies, analysing driver and system performance.

Analyses of chain-of-events leading up to a critical event in terms of human, technological or organisational factors.

Review and propose content of legislation for mandatory safety equipment. 

Systematic prevention of fatigue-related crashes by promoting safe practices combined with detection and early warning.

Situation-aware interaction concepts to improve a driver's understanding of the vehicle's capabilities and driver responsibilities.

Adapting existing simulator and XR-technology for new use cases.

Camera-based methods for assessing driver attention and awareness.

Exploration of the feasibility of real-time human state sensing using physiology data.

Improving situation-specific data by networking sensors from vehicles and infrastructure.

Analysis of possible failure modes and propose safe-by-design and intrinsic safety barriers.