arXiv:1610.06534

Autonomous Racing using Learning Model Predictive Control

Ugo Rosolia, Ashwin Carvalho, Francesco Borrelli

제출 2016-10-20

원문 초록

A novel learning Model Predictive Control technique is applied to the autonomous racing problem. The goal of the controller is to minimize the time to complete a lap. The proposed control strategy uses the data from previous laps to improve its performance while satisfying safety requirements. Moreover, a system identification technique is proposed to estimate the vehicle dynamics. Simulation results with the high fidelity simulator software CarSim show the effectiveness of the proposed control scheme.

함께 살펴볼 논문

공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.

arXiv:2505.01059공통 태그 model, Model Predictive Control공식 코드 · Papers with Code

Model Tensor Planning

토론

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