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RobustStateNet: Robust ego vehicle state estimation for Autonomous Driving
Pragyan Dahal, Simone Mentasti, Luca Paparusso, Stefano Arrigoni and Francesco Braghin Robotics and Autonomous Systems 172 104585 (2024) https://doi.org/10.1016/j.robot.2023.104585
Review of Integrated Chassis Control Techniques for Automated Ground Vehicles
Viktor Skrickij, Paulius Kojis, Eldar Šabanovič, Barys Shyrokau and Valentin Ivanov Sensors 24(2) 600 (2024) https://doi.org/10.3390/s24020600
An artificial neural network-based integrated tilt control system for narrow electric three-wheelers
Robust sideslip angle observer of commercial vehicles based on cornering stiffness estimation using neural network
Chenyu Zhou, Liangyao Yu, Yong Li and Jian Song Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 237(1) 224 (2023) https://doi.org/10.1177/09544070211072401
Recurrent Neural Network Model for On-Board Estimation of the
Side-Slip Angle in a Four-Wheel Drive and Steering Vehicle
Tiziano Alberto Giuliacci, Stefano Ballesio, Marco Fainello, Ulrich Mair and Julian King SAE International Journal of Passenger Vehicle Systems 17(1) (2023) https://doi.org/10.4271/15-17-01-0003
Hybrid State Observer Design for Estimating the Hitch Angles of Tractor-Multi Unit Trailer
Robust and Sample-Efficient Estimation of Vehicle Lateral Velocity Using Neural Networks With Explainable Structure Informed by Kinematic Principles
Mauro Da Lio, Mattia Piccinini and Francesco Biral IEEE Transactions on Intelligent Transportation Systems 24(12) 13670 (2023) https://doi.org/10.1109/TITS.2023.3303776
Prediction for Future Yaw Rate Values of Vehicles Using Long Short-Term Memory Network
The Design of A Motorcycle Featuring Fully Independent Adjustability for Front Suspension and Steering Geometry
Marco Gadola, Daniel Chindamo, Federico Vitale and Emanuele Bonera IOP Conference Series: Materials Science and Engineering 538 012064 (2019) https://doi.org/10.1088/1757-899X/538/1/012064
On the Vehicle Sideslip Angle Estimation: A Literature Review of Methods, Models, and Innovations