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.
A simulation benchmark for autonomous racing with large-scale human data,
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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.