Neural network predicts raceline offsets from local track geometry using Formula 1 data to initialize minimum-time optimal control, accelerating solver convergence on 17 tracks while preserving lap times.
Autof1: An rnn-based approach to simulating strategic decision-making in formula 1,
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Efficient Trajectory Optimization for Autonomous Racing via Formula-1 Data-Driven Initialization
Neural network predicts raceline offsets from local track geometry using Formula 1 data to initialize minimum-time optimal control, accelerating solver convergence on 17 tracks while preserving lap times.