8 papers
Perceived risk evolution in automated driving inferred from large-scale discrete ratings
Xiaolin He, Zirui Li, Xinwei Wang +2
Perceived risk in automated driving is often measured as discrete scores that summarise riding experience but this obscures volatile peaks from sustained elevation. Here we treat d…
Optimal-coupling-observer AV motion control securing comfort in the presence of cyber attacks
Farzam Tajdari, Georgios Papaioannou, Riender Happee
The security of Automated Vehicles (AVs) is an important emerging area of research in traffic safety. Methods have been published and evaluated in experimental vehicles to secure s…
Reducing Discomfort in Driving Simulators: Motion Cueing for Motion Sickness Mitigation
Varun Kotian, Riender Happee, Barys Shyrokau
Driving simulators are increasingly used in research and development. However, simulators often cause motion sickness due to downscaled motion and unscaled veridical visuals. In th…
Efficient Motion Sickness Assessment: Recreation of On-Road Driving on a Compact Test Track
Huseyin Harmankaya, Adrian Brietzke, Rebecca Pham-Xuan +3
The ability to engage in other activities during the ride is considered by consumers as one of the key reasons for the adoption of automated vehicles. However, engagement in non-dr…
Facial Emotion Recognition does not detect feeling unsafe in automated driving
Abel van Elburg, Konstantinos Gkentsidis, Mathieu Sarrazin +3
Trust and perceived safety play a crucial role in the public acceptance of automated vehicles. To understand perceived risk, an experiment was conducted using a driving simulator u…
Modeling Head-Neck Dynamics under Lateral Perturbations Using MPC to Mimic CNS postural stabilization strategy
Chrysovalanto Messiou, Riender Happee, Georgios Papaioannou
Automated vehicles will allow occupants to engage in non-driving tasks, but limited visual cues will make them vulnerable to unexpected movements. These unpredictable perturbations…