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Marc Rene Zofka

Researcher at Center for Information Technology

Publications -  31
Citations -  456

Marc Rene Zofka is an academic researcher from Center for Information Technology. The author has contributed to research in topics: Computer science & Mixed reality. The author has an hindex of 9, co-authored 24 publications receiving 314 citations. Previous affiliations of Marc Rene Zofka include Forschungszentrum Informatik.

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Proceedings ArticleDOI

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

TL;DR: A novel taxonomy is proposed to partition the problem of testing advanced driver assistance systems (ADAS) into three basic dimensions which permits the consideration of open research questions which have to be answered to pave the way for future highly automated driving.
Journal ArticleDOI

Making Bertha Cooperate–Team AnnieWAY’s Entry to the 2016 Grand Cooperative Driving Challenge

TL;DR: This paper presents a motion planner that plans different maneuvers flexibly by augmenting the cost function with situation specific cost terms and describes the requirements of the 2016 GCDC and evaluates the authors' performance during the competition.
Proceedings ArticleDOI

Testing and validating high level components for automated driving: simulation framework for traffic scenarios

TL;DR: A concept for realistic simulation scenarios, capable of running in different integration levels, from software- to vehicle-in-the-loop, is proposed, exposing an experimental vehicle to a traffic scenario with virtual vehicles on a real road network.
Proceedings Article

Data-driven simulation and parametrization of traffic scenarios for the development of advanced driver assistance systems

TL;DR: This paper presents an innovative data-driven method in order to create critical traffic situations from recorded sensor data using LIDAR-captured traffic situations on urban and highway scenes, creating critical scenarios out of safely recorded data.
Proceedings ArticleDOI

Autonomous multi-story navigation for valet parking

TL;DR: An innovative system that completely changes valet parking and the process of charging electric vehicles is presented, which tackles the problem of precise and efficient autonomous navigation for vehicles in gps-denied environments like 3-D multi-story parking garages.