Stochastic MPC with Dual Control for Autonomous Driving with Multi-Modal Interaction-Aware Predictions

التفاصيل البيبلوغرافية
العنوان: Stochastic MPC with Dual Control for Autonomous Driving with Multi-Modal Interaction-Aware Predictions
المؤلفون: Nair, Siddharth H., Govindarajan, Vijay, Lin, Theresa, Wang, Yan, Tseng, Eric H., Borrelli, Francesco
سنة النشر: 2022
المجموعة: Computer Science
Mathematics
مصطلحات موضوعية: Electrical Engineering and Systems Science - Systems and Control, Mathematics - Optimization and Control
الوصف: We propose a Stochastic MPC (SMPC) approach for autonomous driving which incorporates multi-modal, interaction-aware predictions of surrounding vehicles. For each mode, vehicle motion predictions are obtained by a control model described using a basis of fixed features with unknown weights. The proposed SMPC formulation finds optimal controls which serves two purposes: 1) reducing conservatism of the SMPC by optimizing over parameterized control laws and 2) prediction and estimation of feature weights used in interaction-aware modeling using Kalman filtering. The proposed approach is demonstrated on a longitudinal control example, with uncertainties in predictions of the autonomous and surrounding vehicles.
Comment: Accepted to AVEC'22
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2208.03525
رقم الأكسشن: edsarx.2208.03525
قاعدة البيانات: arXiv