Publications
Books (1)
- Validation and Verification of Automated SystemsDetails
Philipp Rosenberger, Martin Holder, Sebastian Hueh, Hermann Winner, Tobias Fleek, Marc René Zofka, J Marius Zöllner, Thomas D'hondt, Benjamin Wassermann, Springer, 2020
Articles (2)
- 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
- Consistent Test Method for Assistance SystemsDetails
Sebastian Schwab, Tobias Leichsenring, Marc René Zofka, Tobias Bär, 2014
Conference Proceedings (14)
- Creating informed public acceptance by a user-centered human-machine interface for all automated transport modesDetails
L.A. Mathis, F. Diederichs, H. Widlroither, D. Ruscio, L. Napoletano, M. R. Zofka, A. Viehl, P. Fröhlich, J. Friedrich, A. Lindström, B.Thorslund, A. Litke, N. Papadakis, et al., 2020
- Functional Decomposition of Lidar Sensor Systems for Model DevelopmentDetails
Philipp Rosenberger, Martin Holder, Marc René Zofka, Tobias Fleck, Thomas D’hondt, Benjamin Wassermann, Juraj Prstek, 2019
- 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
- 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
- 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
- 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
- Simulation framework for the development of autonomous small scale vehiclesDetails
Marc Rene Zofka and Florian Kuhnt and Ralf Kohlhaas and Johann Marius Zöllner, 2016
- 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
- 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
- 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
- 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
- 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.
- 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.
- 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.
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