A real-time capable enhanced dynamic programming approach for predictive optimal cruise control in hybrid electric vehicles. - Hans-Georg Wahl; Kai-Lukas Bauer; Frank Gauterin; Marc Holzäpfel (ITSC, 2013)

Approximate dynamic programming methods applied to far trajectory planning in optimal control. - Hans-Georg Wahl; Marc Holzäpfel; Frank Gauterin (Intelligent Vehicles Symposium, 2014)

Driver state estimation for prediction of vehicle states within control systems. - Sebastian Funfgeld; Marc Holzäpfel; Michael Frey; Frank Gauterin (Intelligent Vehicles Symposium, 2016)

Test scenario selection for system-level verification and validation of geolocation-dependent automotive control systems. - Johannes Bach; Jacob Langner; Stefan Otten; Eric Sax; Marc Holzäpfel (ICE/ITMC, 2017)

Stochastic Forecasting of Vehicle Dynamics Using Sequential Monte Carlo Simulation. - Sebastian Funfgeld; Marc Holzäpfel; Michael Frey; Frank Gauterin (IEEE Trans. Intell. Veh., 2017)

Estimating the Uniqueness of Test Scenarios derived from Recorded Real-World-Driving-Data using Autoencoders. - Jacob Langner; Johannes Bach; Lennart Ries; Stefan Otten; Marc Holzäpfel; Eric Sax (Intelligent Vehicles Symposium, 2018)

Logical Scenario Derivation by Clustering Dynamic-Length-Segments Extracted from Real-World-Driving-Data. - Jacob Langner; Hannes Grolig; Stefan Otten; Marc Holzäpfel; Eric Sax (VEHITS, 2019)

A Process Reference Model for the Virtual Application of Predictive Control Features. - Jacob Langner; Kai-Lukas Bauer; Marc Holzäpfel; Eric Sax (IV, 2020)

Map Attribute Validation using Historic Floating Car Data and Anomaly Detection Techniques. - Carl Esselborn; Leo Misera; Michael Eckert; Marc Holzäpfel; Eric Sax (VEHITS, 2020)

Qualitative Feature Assessment for Longitudinal and Lateral Control-features. - Jacob Langner; Christian Seiffer; Stefan Otten; Kai-Lukas Bauer; Marc Holzäpfel; Eric Sax (VEHITS, 2020)