Towards Resilient Tracking in Autonomous Vehicles: A Distributionally Robust Input and State Estimation Approach
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.