This paper introduces RCUKF, a framework combining Reservoir Computing and Unscented Kalman Filtering to achieve accurate state estimation in complex systems, validated on benchmark problems and real-time vehicle simulations.

This paper proposes a resilient input and state estimation method for autonomous vehicles, improving robustness against uncertainties and outliers. Simulations in CARLA validate enhanced estimation accuracy and system resilience.