20 citations · 27 across the 6 of their papers we have counts for
6 papers
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…
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…
A Two-Stage Bayesian Optimisation for Automatic Tuning of an Unscented Kalman Filter for Vehicle Sideslip Angle Estimation
A. Bertipaglia, B. Shyrokau, M. Alirezaei +1
This paper presents a novel methodology to auto-tune an Unscented Kalman Filter (UKF). It involves using a Two-Stage Bayesian Optimisation (TSBO), based on a t-Student Process to o…
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…
Safe Imitation Learning on Real-Life Highway Data for Human-like Autonomous Driving
Flavia Sofia Acerbo, Mohsen Alirezaei, Herman Van der Auweraer +1
This paper presents a safe imitation learning approach for autonomous vehicle driving, with attention on real-life human driving data and experimental validation. In order to incre…
Multiple Faults Estimation in Dynamical Systems: Tractable Design and Performance Bounds
Chris van der Ploeg, Mohsen Alirezaei, Nathan van de Wouw +1
In this article, we propose a tractable nonlinear fault isolation filter along with explicit performance bounds for a class of nonlinear dynamical systems. We consider the presence…