Search Results for author:
Found 5 papers, 1 papers with code
An Unscented Kalman Filter-Informed Neural Network for Vehicle Sideslip Angle Estimation
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 model to enhance the estimation accuracy of a Convolutional Neural Network (CNN).
Search-Based Task and Motion Planning for Hybrid Systems: Agile Autonomous Vehicles
The algorithm performance is evaluated in simulated driving on a mixed-track with segments of different curvatures (right and left).
Mitigating Motion Sickness with Optimization-based Motion Planning
The results demonstrate considerable potential for improving motion comfort and mitigating motion sickness using our approach in automated vehicles.
Reward-modulated learning using spiking neural networks for vehicle lateral control
This paper presents a vehicle lateral controller based on spiking neural networks capable of replicating the behavior of a model-based controller but with the additional ability to perform online adaptation.
Effects of seat back height and posture on 3D vibration transmission to pelvis, trunk and head
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.
