8 papers
Does the testing environment matter? Carsickness across on-road, test-track, and driving simulator conditions
Georgios Papaioannou, Barys Shyrokau
Carsickness has gained significant attention with the rise of automated vehicles, prompting extensive research across on-road, test-track, and driving simulator environments to und…
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…
Multi-Modal Model Predictive Path Integral Control for Collision Avoidance
Alberto Bertipaglia, Dariu M. Gavrila, Barys Shyrokau
This paper proposes a novel approach to motion planning and decision-making for automated vehicles, using a multi-modal Model Predictive Path Integral control algorithm. The method…
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…
A Learning-Based Model Predictive Contouring Control for Vehicle Evasive Manoeuvres
Alberto Bertipaglia, Mohsen Alirezaei, Riender Happee +1
This paper presents a novel Learning-based Model Predictive Contouring Control (L-MPCC) algorithm for evasive manoeuvres at the limit of handling. The algorithm uses the Student-t…