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Autonomous Drifting with 3 Minutes of Data via Learned Tire Models
Near the limits of adhesion, the forces generated by a tire are nonlinear and intricately coupled.
NashFormer: Leveraging Local Nash Equilibria for Semantically Diverse Trajectory Prediction
Interactions between road agents present a significant challenge in trajectory prediction, especially in cases involving multiple agents.
A hierarchical adaptive nonlinear model predictive control approach for maximizing tire force usage in autonomous vehicles
The ability to reliably maximize tire force usage would improve the safety of autonomous vehicles, especially in challenging edge cases.
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