Forschung
Aktuelle Forschungsprojekte
TURANDOT - Tuning RISC-V to Automotive Needs & Different Other Themes
TURANDOT is a flagship European initiative under the Chips Joint Undertaking, aiming to establish strategic autonomy and leadership in automotive semiconductor technologies through the development of high-performance RISC-V processors.
More about this projectCOSMOS - Comprehensive Software-defined Mobility Systems Engineering
COSMOS treibt die Entwicklung softwaredefinierter Mobilität voran, indem es die Digitalisierung in der Automobilindustrie von hardware- zu softwarezentrierten Fahrzeugen weiterdenkt, SDV, Verkehrsinfrastruktur, IoT-Devices und Cloud-Integration zusammenführt und dafür modellzentrierte Methoden, Werkzeuge, Automatisierung sowie demonstrierte Anwendungsfälle bereitstellt.
More about this projectNeueste Publikationen
CapsuleMotion: A Lightweight Real-Time Visual Motion Predictor for Capsule Endoscopy
by Oliver Bause, Julia Werner, and Oliver BringmannIn 22nd Annual International Conference on Body Sensor Networks, 2026.
Scenario-Independent Criticality Assessment and Prediction for Vulnerable Road Users in Autonomous Driving
by Jörg Gamerdinger, Victor Schwarzenberger, Phillip Schmid, Sven Teufel, and Oliver BringmannIn 2026 IEEE 104th Vehicular Technology Conference (VTC2026-Fall), pages 1–6, 2026.
Image Compression with Bubble-Aware Frame Rate Adaptation for Energy-Efficient Video Capsule Endoscopy
by Oliver Bause, Jörg Gamerdinger, Julia Werner, and Oliver BringmannIn 48th Annual International Conference of the Engineering in Medicine and Biology Society, 2026.
To Count or Not to Count: On the Usage of Performance Counter Metrics for Host to Embedded GPU Performance Estimation
by Alexander Louis-Ferdinand Jung, Moritz Reiber, Jannik Steinmetz, Konstantin Lübeck, and Oliver BringmannIn MBMV 2026; 29. Workshop, Methods and Description Languages for Modeling and Verification of Circuits and Systems, pages 100-109, 2026.
Keywords: Performance Estimation, Statistical Modeling, Artificial Intelligence, Deep Neural Networks, Embedded GPUs
DenoiseCP-Net: Efficient Collective Perception in Adverse Weather via Joint LiDAR-Based 3D Object Detection and Denoising
by Sven Teufel, Dominique Meyer, Jörg Gamerdinger, and Oliver BringmannIn 2026 IEEE Intelligent Vehicles Symposium (IV) (IEEE IV 2026), 2026.