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Train a Model Based on Learning Driveor Intent
In the formalaone game, we can determine the track position of whatever cars in our field of view. And a history of track position is an indicator of future projectory of the vehicle. I so that's actually the the ingredients to this model, which is doing the state estimation for other agents. We're relying on or our state estimator, straind, on dissimulation. Yet, we haven't done it with real data. So there might be something something too.