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Racing environments push lane detection to its limits, but with the right dataset and methods, we can achieve near-perfect accuracy at high speeds.
Barely avoiding disaster is the secret sauce: sampling trajectories near safety boundaries, guided by Pontryagin's Maximum Principle, dramatically improves the efficiency of learning safety filters.