An open experimental benchmark on the RoboRacer platform that combines time-optimal raceline generation, online velocity replanning, geometric controllers, and a model-structured neural network for steering, showing improved tracking and lap times.
Model selection and akaike’s information criterion (aic): The general theory and its analytical extensions,
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Trajectory Planning and Control near the Limits: an Open Experimental Benchmark on the RoboRacer Platform
An open experimental benchmark on the RoboRacer platform that combines time-optimal raceline generation, online velocity replanning, geometric controllers, and a model-structured neural network for steering, showing improved tracking and lap times.