Marc Holzäpfel

Logical Scenario Derivation by Clustering Dynamic-Length-Segments Extracted from Real-World-Driving-Data

Eric Sax, Stefan Otten, Jacob Langner, 2019, VEHITS.

Estimating the Uniqueness of Test Scenarios derived from Recorded Real-World-Driving-Data using Autoencoders

Eric Sax, Stefan Otten, Jacob Langner, 2018, 2018 IEEE Intelligent Vehicles Symposium (IV).

Test scenario selection for system-level verification and validation of geolocation-dependent automotive control systems

Eric Sax, Stefan Otten, Jacob Langner, 2017, 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC).

Data-driven development, a complementing approach for automotive systems engineering

Eric Sax, Stefan Otten, Jacob Langner, 2017, 2017 IEEE International Systems Engineering Symposium (ISSE).

Approximate dynamic programming methods applied to far trajectory planning in optimal control

Frank Gauterin, Marc Holzäpfel, Hans-Georg Wahl, 2014, 2014 IEEE Intelligent Vehicles Symposium Proceedings.

Qualitative Feature Assessment for Longitudinal and Lateral Control-features

Eric Sax, Stefan Otten, Jacob Langner, 2020, International Conference on Vehicle Technology and Intelligent Transport Systems.

A Process Reference Model for the Virtual Application of Predictive Control Features

Eric Sax, Jacob Langner, Marc Holzäpfel, 2020, 2020 IEEE Intelligent Vehicles Symposium (IV).

Map Attribute Validation using Historic Floating Car Data and Anomaly Detection Techniques

Michael Eckert, Eric Sax, Marc Holzäpfel, 2020, VEHITS.

A real-time capable enhanced dynamic programming approach for predictive optimal cruise control in hybrid electric vehicles

Frank Gauterin, Marc Holzäpfel, Hans-Georg Wahl, 2013, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013).