activity
20222025
most citedMotion comfort and driver feel: An explorative study about their relation in remote driving

8 citations · 29 across the 23 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

eess.SY2025★ 2 cited

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…

cs.RO2025

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…

cs.CV2025

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…

cs.HC2025

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…

eess.SY2025

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…

cs.RO2025

A Vehicle System for Navigating Among Vulnerable Road Users Including Remote Operation

Oscar de Groot, Alberto Bertipaglia, Hidde Boekema +21

We present a vehicle system capable of navigating safely and efficiently around Vulnerable Road Users (VRUs), such as pedestrians and cyclists. The system comprises key modules for…