218 citations
- Universität UlmDE4 papers
- University of TübingenDE3 papers
- Mercedes-Benz Research and Development North America (United States)US2 papers
- Brandenburg University of Technology Cottbus-SenftenbergDE1 paper
- Christian-Albrechts-Universität zu KielDE1 paper
- Esslingen University of Applied SciencesDE1 paper
- Fraunhofer Institute for Experimental Software EngineeringDE1 paper
- Karlsruhe Institute of TechnologyDE1 paper
- McGill UniversityCA1 paper
- Princeton UniversityUS1 paper
- RWTH Aachen UniversityDE1 paper
- Technische Universität DresdenDE1 paper
9 papers
Analysis of the DoIP Protocol for Security Vulnerabilities
Patrick Wachter, Stephan Kleber
DoIP, which is defined in ISO 13400, is a transport protocol stack for diagnostic data. Diagnostic data is a potential attack vector at vehicles, so secure transmission must be gua…
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…
The Atlas of Lane Changes: Investigating Location-dependent Lane Change Behaviors Using Measurement Data from a Customer Fleet
Florian Wirthmüller, Jochen Hipp, Christian Reichenbächer +1
The prediction of surrounding traffic participants behavior is a crucial and challenging task for driver assistance and autonomous driving systems. Today's approaches mainly focus…
Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues
Frank Julca-Aguilar, Jason Taylor, Mario Bijelic +3
Today's state-of-the-art methods for 3D object detection are based on lidar, stereo, or monocular cameras. Lidar-based methods achieve the best accuracy, but have a large footprint…
Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks
Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen +2
To plan safe and comfortable trajectories for automated vehicles on highways, accurate predictions of traffic situations are needed. So far, a lot of research effort has been spent…
Exploitation of Image Statistics with Sparse Coding in the Case of Stereo Vision
Gerrit A. Ecke, Harald M. Papp, Hanspeter A. Mallot
The sparse coding algorithm has served as a model for early processing in mammalian vision. It has been assumed that the brain uses sparse coding to exploit statistical properties…