A parameter adaptive framework combining LQR and robust control with RLS, GPR, and Bayesian optimization is claimed to improve autonomous vehicle tracking accuracy and yaw stability in simulation.
Semantic-level maneuver sampling and trajectory planning for on-road autonomous driving in dynamic scenarios,
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A Parameter Adaptive Trajectory Tracking and Motion Control Framework for Autonomous Vehicle
A parameter adaptive framework combining LQR and robust control with RLS, GPR, and Bayesian optimization is claimed to improve autonomous vehicle tracking accuracy and yaw stability in simulation.