EDGAR: An Autonomous Driving Research Platform - From Feature Development to Real-World Application. - Phillip Karle; Tobias Betz; Marcin Bosk; Felix Fent; Nils Gehrke; Maximilian Geisslinger; Luis Gressenbuch; Philipp Hafemann; Sebastian Huber; Maximilian Hübner; Sebastian Huch; Gemb Kaljavesi; et al. (CoRR, 2023)

R2NMPC: A Real-Time Reduced Robustified Nonlinear Model Predictive Control with Ellipsoidal Uncertainty Sets for Autonomous Vehicle Motion Control. - Baha Zarrouki; João Nunes; Johannes Betz (CoRR, 2023)

A Stochastic Nonlinear Model Predictive Control with an Uncertainty Propagation Horizon for Autonomous Vehicle Motion Control. - Baha Zarrouki; Chenyang Wang; Johannes Betz (ACC, 2024)

Adaptive Stochastic Nonlinear Model Predictive Control with Look-ahead Deep Reinforcement Learning for Autonomous Vehicle Motion Control. - Baha Zarrouki; Chenyang Wang; Johannes Betz (IROS, 2024)

A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control. - Baha Zarrouki; Marios Spanakakis; Johannes Betz (IV, 2024)

Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis. - Yuan Gao; Mattia Piccinini; Yuchen Zhang; Dingrui Wang; Korbinian Möller; Roberto Brusnicki; Baha Zarrouki; Alessio Gambi; Jan Frederik Totz; Kai Storms; Steven Peters; Andrea Stocco 001; et al. (CoRR, 2025)

Safe Reinforcement Learning with a Predictive Safety Filter for Motion Planning and Control: A Drifting Vehicle Example. - Bei Zhou; Baha Zarrouki; Mattia Piccinini; Cheng Hu; Lei Xie 007; Johannes Betz (CoRR, 2025)