Publications

RCUKF

We introduce 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.

[ project page ]

DRISE

We propose 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.

[ doi ] [ slides ]

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