218 citations
- Universität UlmDE6 papers
- Esslingen University of Applied SciencesDE4 papers
- Leiden UniversityNL3 papers
- RheinMain University of Applied SciencesDE3 papers
- University of Applied Sciences LeidenNL3 papers
- University of StuttgartDE3 papers
- University of TübingenDE3 papers
- Mercedes-Benz Research and Development North America (United States)US2 papers
- RWTH Aachen UniversityDE2 papers
- Applied Materials (United Kingdom)GB1 paper
- Brandenburg University of Technology Cottbus-SenftenbergDE1 paper
- Carl von Ossietzky Universität OldenburgDE1 paper
4 papers · 1 filter
EMPERROR: A Flexible Generative Perception Error Model for Probing Self-Driving Planners
Niklas Hanselmann, Simon Doll, Marius Cordts +2
To handle the complexities of real-world traffic, learning planners for self-driving from data is a promising direction. While recent approaches have shown great progress, they typ…
Landmark-based Vehicle Self-Localization Using Automotive Polarimetric Radars
Fabio Weishaupt, Julius F. Tilly, Nils Appenrodt +3
Automotive self-localization is an essential task for any automated driving function. This means that the vehicle has to reliably know its position and orientation with an accuracy…
Statistical Modelling of Driving Scenarios in Road Traffic using Fleet Data of Production Vehicles
Christian Reichenbächer, Jochen Hipp, Oliver Bringmann
Ensuring the safety of road vehicles at an acceptable level requires the absence of any unreasonable risk arising from all potential hazards linked to the intended au-tomated drivi…
Identifying Scenarios in Field Data to Enable Validation of Highly Automated Driving Systems
Christian Reichenbächer, Maximilian Rasch, Zafer Kayatas +4
Scenario-based approaches for the validation of highly automated driving functions are based on the search for safety-critical characteristics of driving scenarios using software-i…