86 citations · 135 across the 20 of their papers we have counts for
4 papers · 1 filter
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…
Mitigating Motion Sickness with Optimization-based Motion Planning
Yanggu Zheng, Barys Shyrokau, Tamas Keviczky
The acceptance of automated driving is under the potential threat of motion sickness. It hinders the passengers' willingness to perform secondary activities. In order to mitigate m…
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…