Road friction virtual sensing: A review of estimation techniques with emphasis on low excitation approaches

M Acosta, S Kanarachos, M Blundell - Applied Sciences, 2017 - mdpi.com
In this paper, a review on road friction virtual sensing approaches is provided. In particular,
this work attempts to address whether the road grip potential can be estimated accurately …

Dynamic drifting control for general path tracking of autonomous vehicles

G Chen, X Zhao, Z Gao, M Hua - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Taking full advantage of tire saturation in high sideslip drifting maneuvers can substantially
improve the handling limits of autonomous vehicles. However, most singular motion control …

Virtual tyre force sensors: An overview of tyre model-based and tyre model-less state estimation techniques

M Acosta, S Kanarachos… - Proceedings of the …, 2018 - journals.sagepub.com
This paper presents a comprehensive literature review on tyre force estimation and road grip
recognition approaches. With the development of modern automotive control systems, a …

Beyond the stable handling limits: nonlinear model predictive control for highly transient autonomous drifting

JYM Goh, M Thompson, J Dallas… - Vehicle System …, 2024 - Taylor & Francis
Autonomous vehicles that can reliably operate outside the stable handling limits would have
access to a wider range of maneuvers in emergencies, improving overall safety. To that end …

Toward automated vehicle control beyond the stability limits: drifting along a general path

JY Goh, T Goel… - Journal of …, 2020 - asmedigitalcollection.asme.org
Professional drivers in drifting competitions demonstrate accurate control over a car's
position and sideslip while operating in an open-loop unstable region of state-space. Could …

High-speed autonomous drifting with deep reinforcement learning

P Cai, X Mei, L Tai, Y Sun, M Liu - IEEE Robotics and …, 2020 - ieeexplore.ieee.org
Drifting is a complicated task for autonomous vehicle control. Most traditional methods in this
area are based on motion equations derived by the understanding of vehicle dynamics …

An adaptive backstep** sliding mode controller to improve vehicle maneuverability and stability via torque vectoring control

L Zhang, H Ding, J Shi, Y Huang… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
To improve the maneuverability and stability of a vehicle and fully leverage the advantages
of torque vectoring technology in vehicle dynamics control, a finite-time yaw rate and …

A real-time nonlinear model predictive control strategy for stabilization of an electric vehicle at the limits of handling

E Siampis, E Velenis, S Gariuolo… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper, we propose a real-time nonlinear model predictive control (NMPC) strategy for
stabilization of a vehicle near the limit of lateral acceleration using the rear axle electric …

Modeling and control for dynamic drifting trajectories

TP Weber, JC Gerdes - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Drifting, or cornering with rear tires that exceed slip limits, represents a trade-off of stability
for controllability while operating at the limits of friction. Recent work has demonstrated …

Search-based task and motion planning for hybrid systems: Agile autonomous vehicles

Z Ajanović, E Regolin, B Shyrokau, H Ćatić… - arxiv preprint arxiv …, 2023 - arxiv.org
To achieve optimal robot behavior in dynamic scenarios we need to consider complex
dynamics in a predictive manner. In the vehicle dynamics community, it is well know that to …