8 citations · 29 across the 23 of their papers we have counts for
23 papers
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…
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…
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…
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…
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…
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…
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…
Model Predictive Contouring Control for Vehicle Obstacle Avoidance at the Limit of Handling Using Torque Vectoring
Alberto Bertipaglia, Davide Tavernini, Umberto Montanaro +4
This paper presents an original approach to vehicle obstacle avoidance. It involves the development of a nonlinear Model Predictive Contouring Control, which uses torque vectoring…
Kinematic body responses and perceived discomfort in a bumpy ride: Effects of sitting posture
Marko Cvetkovic, Raj Desai, Georgios Papaioannou +1
The present study investigates perceived comfort and whole-body vibration transmissibility in intensive repetitive pitch exposure representing a bumpy ride. Three sitting strategie…
Modelling individual motion sickness accumulation in vehicles and driving simulators
Varun Kotian, Daan M. Pool, Riender Happee
Users of automated vehicles will move away from being drivers to passengers, preferably engaged in other activities such as reading or using laptops and smartphones, which will str…
Motion Cueing Algorithm for Effective Motion Perception: A frequency-splitting MPC Approach
Vishrut Jain, Andrea Lazcano, Riender Happee +1
Model predictive control (MPC) is a promising technique for motion cueing in driving simulators, but its high computation time limits widespread real-time application. This paper p…
Model Predictive Contouring Control for Vehicle Obstacle Avoidance at the Limit of Handling
Alberto Bertipaglia, Mohsen Alirezaei, Riender Happee +1
This paper proposes a non-linear Model Predictive Contouring Control (MPCC) for obstacle avoidance in automated vehicles driven at the limit of handling. The proposed controller in…
The impact of body and head dynamics on motion comfort assessment
Georgios Papaioannou, Raj Desai, Riender Happee
Head motion is a key determinant of motion comfort and differs substantially from seat motion due to seat and body compliance and dynamic postural stabilization. This paper compare…
Modelling human seat contact interaction for vibration comfort
Raj Desai, Marko Cvetković, Georgios Papaioannou +1
The seat to head vibration transmissibility depends on various characteristics of the seat and the human body. One of these, is the contact interaction, which transmits vibrational…
Computationally efficient human body modelling for real time motion comfort assessment
Raj Desai, Marko Cvetković, Junda Wu +2
Due to the complexity of the human body and its neuromuscular stabilization, it has been challenging to efficiently and accurately predict human motion and capture posture while be…
A new computational perceived risk model for automated vehicles based on potential collision avoidance difficulty (PCAD)
Xiaolin He, Riender Happee, Meng Wang
Perceived risk is crucial in designing trustworthy and acceptable vehicle automation systems. However, our understanding of its dynamics is limited, and models for perceived risk d…
Simulating vibration transmission and comfort in automated driving integrating models of seat, body, postural stabilization and motion perception
Riender Happee, Raj Desai, Georgios Papaioannou
To enhance motion comfort in (automated) driving we present biomechanical models and demonstrate their ability to capture vibration transmission from seat to trunk and head. A comp…
Evaluation of motion comfort using advanced active human body models and efficient simplified models
Raj Desai, Marko Cvetković, Georgios Papaioannou +1
Active muscles are crucial for maintaining postural stability when seated in a moving vehicle. Advanced active 3D non-linear full body models have been developed for impact and com…
Motion comfort and driver feel: An explorative study about their relation in remote driving
Georgios Papaioannou, Lin Zhao, Mikael Nybacka +3
Teleoperation is considered as a viable option to control fully automated vehicles (AVs) of Level 4 and 5 in special conditions. However, by bringing the remote drivers in the loop…
An Unscented Kalman Filter-Informed Neural Network for Vehicle Sideslip Angle Estimation
Alberto Bertipaglia, Mohsen Alirezaei, Riender Happee +1
This paper proposes a novel vehicle sideslip angle estimator, which uses the physical knowledge from an Unscented Kalman Filter (UKF) based on a non-linear single-track vehicle mod…
Effects of seat back height and posture on 3D vibration transmission to pelvis, trunk and head
Mojtaba Mirakhorlo, Nick Kluft, Barys Shyrokau +1
Vibration transmission is essential in the design of comfortable vehicle seats but knowledge is lacking on 3D trunk and head motion and the role of seat back and posture. We hypoth…
Model-based vs Data-driven Estimation of Vehicle Sideslip Angle and Benefits of Tyre Force Measurements
A. Bertipaglia, D. de Mol, M. Alirezaei +2
This paper provides a comprehensive comparison of model-based and data-driven approaches and analyses the benefits of using measured tyre forces for vehicle sideslip angle estimati…