Marc Zofka

Abteilungsleiter

Werdegang

Marc Zofka studierte von 2007 bis 2010 Information Engineering an der Universität Konstanz mit dem Schwerpunkt Visual Analytics. Im Anschluss belegte er den Masterstudiengang Informatik am Karlsruher Institut für Technologie (KIT). Seine Schwerpunkte liegen in den Gebieten Kognitive Systeme, Robotik und Sensorfusion.

Seine Masterarbeit mit dem Titel "Regularisierung der Korrespondenzfindung von Unterwasseraufnahmen" legte er am Lehrstuhl für interaktive Echtzeitsysteme in Kooperation mit dem Fraunhofer IOSB ab.

Seit Mai 2013 ist er wissenschaftlicher Mitarbeiter in der Abteilung TKS. Er ist im Bereich des energieeffizienten Fahrens und der  Verifikation von Fahrassistenzsystemen tätig.

Publikationen

Zeitungs- oder Zeitschriftenartikel (2)

1. Making Bertha Cooperate-Team AnnieWAY's Entry to the 2016 Grand Cooperative Driving ChallengeDetails

   \"Omer Sahin Tas and Niels Ole Salscheider and Fabian Poggenhans and Sascha Wirges and Claudio Bandera and Marc Rene Zofka and Tobias Strauss and Johann Marius Zöllner and Christoph Stiller, 2018

2. Consistent Test Method for Assistance SystemsDetails

   Sebastian Schwab, Tobias Leichsenring, Marc René Zofka, Tobias Bär, 2014

Konferenzbeitrag (26)

1. Intelligent Autonomous Systems 15 - Proceedings of the 15th International Conference IAS-15, Baden-Baden, Germany, June 11-15, 2018Details

   Springer, 2019

2. Towards Large Scale Urban Traffic Reference Data: Smart Infrastructure in the Test Area Autonomous Driving Baden-WürttembergDetails

   Tobias Fleck and Karam Daaboul and Michael Weber and Philip Schörner and Marek Wehmer and Jens Doll and Stefan Orf and Nico Su\ssmann and Christian Hubschneider and Marc Ren\'e Zofka and Florian Kuhnt and Ralf Kohlhaas and In, 2018

3. Traffic Participants in the Loop: A Mixed Reality-Based Interaction Testbed for the Verification and Validation of Autonomous VehiclesDetails

   Marc Rene Zofka and Stefan Ulbrich and Daniel Karl and Tobias Fleck and Ralf Kohlhaas and Arne Rönnau and Rüdiger Dillmann and J. Marius Zöllner, 2018

4. The sleepwalker framework: Verification and validation of autonomous vehicles by mixed reality LiDAR stimulationDetails

   Marc Rene Zofka and Marc Essinger and Tobias Fleck and Ralf Kohlhaas and Johann Marius Zöllner, 2018

5. Towards Large Scale Urban Traffic Reference Data: Smart Infrastructure in the Test Area Autonomous Driving Baden-WürttembergDetails

   Tobias Fleck and Karam Daaboul and Michael Weber and Philip Schörner and Marek Wehmer and Jens Doll and Stefan Orf and Nico Su\ssmann and Christian Hubschneider and Marc Ren\'e Zofka and Florian Kuhnt and Ralf Kohlhaas and In, 2018

6. 21st International Conference on Intelligent Transportation Systems, ITSC 2018, Maui, HI, USA, November 4-7, 2018Details

   IEEE, 2018

7. 2018 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots, SIMPAR 2018, Brisbane, Australia, May 16-19, 2018Details

   IEEE, 2018

8. Testing and validating high level components for automated driving: simulation framework for traffic scenariosDetails

   Marc Rene Zofka and Sebastian Klemm and Florian Kuhnt and Thomas Schamm and Johann Marius Zöllner, 2016

9. Simulation framework for the development of autonomous small scale vehiclesDetails

   Marc Rene Zofka and Florian Kuhnt and Ralf Kohlhaas and Johann Marius Zöllner, 2016

10. Autonomous multi-story navigation for valet parkingDetails

    Sebastian Klemm and Marc Essinger and Jan Oberländer and Marc Rene Zofka and Florian Kuhnt and Michael Weber and Ralf Kohlhaas and Alexander Kohs and Arne Rönnau and Thomas Schamm and Johann Marius Zöllner, 2016

11. 19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016, Rio de Janeiro, Brazil, November 1-4, 2016Details

    IEEE, 2016

12. 2016 IEEE Intelligent Vehicles Symposium, IV 2016, Gotenburg, Sweden, June 19-22, 2016Details

    IEEE, 2016

13. 2016 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots, SIMPAR 2016, San Francisco, CA, USA, December 13-16, 2016Details

    IEEE, 2016

14. Data-­driven Simulation and Parametrization of Traffic Scenarios for the Development of Advanced Driver Assistance SystemsDetails

    Zofka, Marc René and Kuhnt, Florian and Rist, Christoph and Schamm, Thomas and Zöllner, J. Marius, 2015

15. Testing of advanced driver assistance towards automated driving: A survey and taxonomy on existing approaches and open questionsDetails

    Stellet, Jan Erik and Zofka, Marc René and Schumacher, Jan and Schamm, Thomas and Niewels, Frank and Zöllner, J. Marius, 2015

16. Data-driven simulation and parametrization of traffic scenarios for the development of advanced driver assistance systemsDetails

    Marc Rene Zofka and Florian Kuhnt and Ralf Kohlhaas and Christoph Rist and Thomas Schamm and J. Marius Zöllner, 2015

17. Testing of Advanced Driver Assistance Towards Automated Driving: A Survey and Taxonomy on Existing Approaches and Open QuestionsDetails

    Jan Erik Stellet and Marc Rene Zofka and Jan Schumacher and Thomas Schamm and Frank Niewels and Johann Marius Zöllner, 2015

18. 18th International Conference on Information Fusion, FUSION 2015, Washington, DC, USA, July 6-9, 2015Details

    IEEE, 2015

19. IEEE 18th International Conference on Intelligent Transportation Systems, ITSC 2015, Gran Canaria, Spain, September 15-18, 2015Details

    IEEE, 2015

20. Robust, Marker-Based Head Tracking for Testing Cognitive Vehicles in the LoopInfoDetails

    Zofka, Marc René and Kohlhaas, Ralf and Bär, Tobias and Schwab, Sebastian and Schamm, Thomas and Zöllner, J Marius, Springer, 2014

    One of the great challenges for the release of automated vehicles is the verification and evaluation of their cognitive skills. Therefore, Vehicle-in-the-loop testing provides an adequate tool, combining real test drives with simulations. In this paper we present our innovative Vehicle-in-the-loop framework: First, a marker-based head tracking is presented, which is able to track the driver’s head in presence of vehicle’s movement and illumination influences. Second, we present our realization based on the Open-Source framework ROS with an exemplary coupling to the professional simulation tool CarMaker. Finally, we evaluate our approach in different driving scenarios.

21. Semivirtual simulations for the evaluation of vision-based ADASInfoDetails

    Zofka, Marc René and Kohlhaas, Ralf and Schamm, Thomas and Zöllner, J Marius, 2014

    The design and development process of advanced driver assistance systems (ADAS) is divided into different phases, where the algorithms are implemented as a model, then as software and finally as hardware. Since it is unfeasable to simulate all possible driving situations for environmental perception and interpretation algorithms, there is still a need for expensive and time-consuming real test drives of thousands of kilometers. Therefore we present a novel approach for testing and evaluation of vision-based ADAS, where reliable simulations are fused with recorded data from test drives to provide a task-specific reference model. This approach provides ground truth with much higher reliability and reproducability than real test drives and authenticity than using pure simulations and can be applied already in early steps of the design process. We illustrate the effectiveness of our approach by testing a vision-based collision mitigation system on recordings of a german highway.

22. New test method for reproducible real-time tests of ADAS ECUs: “Vehicle-in-the-Loop” connects real-world vehicles with the virtual worldInfoDetails

    C. Miquet, S. Schwab, R. Pfeffer, M. R. Zofka, T. Bär, Dr. T. Schamm, Prof. Dr. J. M. Zöllner, 2014

    Modern vehicles act more and more autonomously. While in the early years of driver assistance systems parking aids were only available in premium-class vehicles and initially provided drivers only with acoustic help in maneuvering a vehicle into a parking space, the evolutionary automatic parking assistance system today is available even in medium-sized vehicles. The simple cruise control evolved into adaptive cruise control (ACC); the automatic emergency-brake-assist function is an extension of ACC. Lane change, intersection and emergency-steer-assist are additional electronic “co-drivers” intended to make driving safer.

23. Robust, Marker-Based Head Tracking for Testing Cognitive Vehicles in the LoopDetails

    Marc Rene Zofka and Ralf Kohlhaas and Tobias Bär and Sebastian Schwab and Thomas Schamm and Johann Marius Zöllner, 2014

24. Semivirtual simulations for the evaluation of vision-based ADASDetails

    Marc Rene Zofka and Ralf Kohlhaas and Thomas Schamm and J. Marius Zöllner, 2014

25. Advances in Visual Computing - 10th International Symposium, ISVC 2014, Las Vegas, NV, USA, December 8-10, 2014, Proceedings, Part IDetails

    Springer, 2014

26. 2014 IEEE Intelligent Vehicles Symposium Proceedings, Dearborn, MI, USA, June 8-11, 2014Details

    IEEE, 2014

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Kontakt

Telefon: +49 721 9654-366
Fax: +49 721 9654-367
E-Mail: zofka@dont-want-spam.fzi.de

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