Mediating between Human Driver and Automation through Human-Machine Interface for Highly Automated Vehicles

This master thesis report gathers the research and design activities executed in 100 working days, in order to investigate the future context of autonomous driving. More specifically, the communication between the human driver and automation during the automated driving modes (Long Out of the Loop and Standby modes) has been investigated to...

Simulator motion cueing error detection using a wavelet-based algorithm

Understanding the process of human motion perception is essential for optimizing the motion cueing algorithms (MCAs) used by motion simulators. Previous research has shown that different motion cueing error types can be distinguished, at least some of which are rated differently by humans for equal error magnitude. Optimizing a motion simulation...