RADAR-Based Safe Pull-Over of Autonomous Racing Cars in Localization Failure Scenarios
Paper in proceeding, 2024

This paper presents a RADAR-Based, vehicle lateral dynamics control algorithm that ensures a safe pull-over of autonomous racing vehicles to the roadside barriers in the event of localization failures. The position and curvature of the roadside barriers are estimated from RADAR measurements through a Total Least Squares algorithm and fed to a Linear-Quadratic-Regulator (LQR), which outputs the steering commands to the vehicle. As the estimates accuracy varies with the distance to the barriers, the proposed algorithm controls the car at a target distance which is dynamically adjusted based on the confidence interval of the barrier distance estimate. The convergence of the resulting closed-loop, nonlinear system to a minimum safe distance to the barrier is proven through Lyapunov stability theory. We consider the setup based on the Dallara AV-21, a fully autonomous racing car competing in the Indy Autonomous Challenge. Simulations on the Las Vegas Motor Speedway track demonstrate the emergency controller's effectiveness, offering a robust safety solution for racing cars in case of localization losses.

Linear quadratic

Vehicle lateral dynamics

Racing cars

LeastSquare algorithm

Pull-over

Failure scenarios

Dynamic control algorithm

Total least squares

Localisation

Roadside barriers

Author

Francesco Prignoli

University of Bologna

University of Modena and Reggio Emilia

Paolo Falcone

University of Modena and Reggio Emilia

Chalmers, Electrical Engineering, Systems and control

Ayoub Raji

University of Modena and Reggio Emilia

Marko Bertogna

University of Modena and Reggio Emilia

2024 European Control Conference, ECC 2024

Vol. In Press 3644-3649
9783907144107 (ISBN)

2024 European Control Conference, ECC 2024
Stockholm, Sweden,

Subject Categories (SSIF 2025)

Vehicle and Aerospace Engineering

Control Engineering

DOI

10.23919/ECC64448.2024.10591321

More information

Latest update

5/20/2025