Autonomous Drifting with 3 Minutes of Data via Learned Tire Models

Author:

Djeumou Franck1,Goh Jonathan Y.M.2,Topcu Ufuk1,Balachandran Avinash2

Affiliation:

1. University of Texas at Austin,Austin,TX,USA

2. Toyota Research Institute,Los Altos,CA,USA

Funder

Toyota Research Institute

Publisher

IEEE

Reference28 articles.

1. The kinematic bicycle model: A consistent model for planning feasible trajectories for autonomous vehicles?

2. Kinematic and dynamic vehicle models for autonomous driving control design

3. Toward automated vehicle control beyond the stability limits: Drifting along a general path;goh;Journal of Dynamic Systems Measurement and Control-Transactions of the ASME,2019

4. Seitenkraften am rollenden luftreifen;fiala;VDI,1954

5. Predictive Active Steering Control for Autonomous Vehicle Systems

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1. Drifting with Unknown Tires: Learning Vehicle Models Online with Neural Networks and Model Predictive Control;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

2. DRIVE: Data-driven Robot Input Vector Exploration;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Adaptive Planning and Control with Time-Varying Tire Models for Autonomous Racing Using Extreme Learning Machine;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. Real-Time High-Precision Nonlinear Tracking Control of Autonomous Vehicles Using Fast Iterative Model Predictive Control;IEEE Transactions on Intelligent Vehicles;2024-02

5. Applicability Study of Model-Free Reinforcement Learning Towards an Automated Design Space Exploration Framework;2023 IEEE Symposium Series on Computational Intelligence (SSCI);2023-12-05

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