Safe, learning-based MPC for highway driving under lane-change uncertainty: A distributionally robust approach
We present a case study applying learning-based distributionally robust model predictive
control to highway motion planning under stochastic uncertainty of the lane change behavior …
control to highway motion planning under stochastic uncertainty of the lane change behavior …
Distributionally Robust Model Predictive Control for Safety-Critical Systems: with Applications in Autonomous Driving
M Schuurmans, P Patrinos - 2023 - lirias.kuleuven.be
The availability of reliable methods for data-driven, optimal decision making under
uncertainty is of central importance in several fields of study, including operations research …
uncertainty is of central importance in several fields of study, including operations research …