A Probabilistic Vehicle Diagnostic System Using Multiple Models. - Matthew L. Schwall; J. Christian Gerdes; Bernard Bäker; Thomas M. Forchert (IAAI, 2003)

Efficiency-increasing driver assistance at signalized intersections using predictive traffic state estimation. - Philipp Schuricht; Oliver Michler; Bernard Bäker (ITSC, 2011)

ElisaTM - Car to infrastructure communication in the field. - Benno Schweiger; Christian Raubitschek; Bernard Bäker; Johann H. Schlichter (Comput. Networks, 2011)

High-gain feedback stability of a nonlinear drivetrain system. - Peter Loepelmann; Bernard Bäker (ECC, 2013)

Anwendung der Variationsrechnung für Steuerungsaufgaben im Kraftfahrzeug. - Stephan Uebel; Conny Tempelhahn; Mike Liebers; Steffen Kutter; Bernard Bäker (Autom., 2014)

Microscopic real-time traffic simulations to support advanced driver assistance systems. - Mario Krumnow; Anja Liebscher; Jürgen Krimmling; Torsten Schubert; Bernard Bäker (MT-ITS, 2015)

Energy-efficient routing strategies based on real-time data of a local traffic management center. - Anja Liebscher; Mario Krumnow; Jürgen Krimmling; Falk Hanisch; Bernard Bäker (MT-ITS, 2015)

Computationally efficient velocity and power split control of hybrid electric vehicles. - Stephan Uebel; Nikolce Murgovski; Conny Tempelhahn; Bernard Bäker (CCTA, 2017)

Derivation of Real Driving Emission Cycles based on Real-world Driving Data - Using Markov Models and Threshold Accepting. - Roman Liessner; Robert Fechert; Bernard Bäker (VEHITS, 2017)

Safe Deep Reinforcement Learning Hybrid Electric Vehicle Energy Management. - Roman Liessner; Ansgar Malte Dietermann; Bernard Bäker (ICAART (Revised Selected Papers), 2018)

Deep Reinforcement Learning for Advanced Energy Management of Hybrid Electric Vehicles. - Roman Liessner; Christian Schroer; Ansgar Malte Dietermann; Bernard Bäker (ICAART (2), 2018)

Pre-ignition Detection Using Deep Neural Networks: A Step Towards Data-driven Automotive Diagnostics. - Peter Wolf; Artur Mrowca; Tam Thanh Nguyen; Bernard Bäker; Stephan Günnemann (ITSC, 2018)

Influence of Measurement and Prediction Uncertainties on Range Estimation for Electric Vehicles. - Stefan Sautermeister; Max Falk; Bernard Bäker; Frank Gauterin; Moritz Vaillant (IEEE Trans. Intell. Transp. Syst., 2018)

Optimal Energy Management and Velocity Control of Hybrid Electric Vehicles. - Stephan Uebel; Nikolce Murgovski; Conny Tempelhahn; Bernard Bäker (IEEE Trans. Veh. Technol., 2018)

Hyperparameter Optimization for Deep Reinforcement Learning in Vehicle Energy Management. - Roman Liessner; Jakob Schmitt; Ansgar Dietermann; Bernard Bäker (ICAART (2), 2019)

Unsupervised Data-Driven Automotive Diagnostics with Improved Deep Temporal Clustering. - Peter Wolf; Alvin Chin; Bernard Bäker (VTC Fall, 2019)

A Two-Level MPC for Energy Management Including Velocity Control of Hybrid Electric Vehicles. - Stephan Uebel; Nikolce Murgovski; Bernard Bäker; Jonas Sjöberg (IEEE Trans. Veh. Technol., 2019)

Space-Filling Subset Selection for an Electric Battery Model. - Philipp Gesner; Christian Gletter; Florian Landenberger; Frank Kirschbaum; Lutz Morawietz; Bernard Bäker (CoRR, 2020)

Robust Data-Driven Error Compensation for a Battery Model. - Philipp Gesner; Frank Kirschbaum; Richard Jakobi; Bernard Bäker (CoRR, 2020)

LongiControl: A Reinforcement Learning Environment for Longitudinal Vehicle Control. - Jan Dohmen; Roman Liessner; Christoph Friebel; Bernard Bäker (ICAART (2), 2021)

Active Output Selection Strategies for Multiple Learning Regression Models. - Adrian Prochaska; Julien Pillas; Bernard Bäker (ICPRAM, 2021)

Comparative Case Study of a Metamodel-Based Electric Vehicle Powertrain Design. - Maximilian Helbing; Stephan Uebel; Conny Matthes; Bernard Bäker (IEEE Access, 2021)

Improved active output selection strategy for noisy environments. - Adrian Prochaska; Julien Pillas; Bernard Bäker (CoRR, 2021)

Automotive Digital Twins: A Traversal Algorithm for Virtual Testing of Software over-the-air Updates. - Till Fuchs; Matthias Zinser; Kevin Renatus; Bernard Bäker (ICM, 2023)