A new empirical EHD feedforward controller using polynomial surface fit outperforms learning-based methods in closed-loop robustness and lap times during high-fidelity autonomous racing simulation.
A mental simulation approach for learning neural-network predictive control (in self-driving cars),
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Benchmarking Empirical and Learning-Based Approaches for Feedforward Steering Control in Autonomous Racing
A new empirical EHD feedforward controller using polynomial surface fit outperforms learning-based methods in closed-loop robustness and lap times during high-fidelity autonomous racing simulation.