Veröffentlichungen zu Generativen Methoden für Perzeption, Prädiktion und Planung. Paper, Innovationen und Forschungsergebnisse aus nxtAIM, ein Kooperationsprojekt zu Generativer KI für autonomes Fahren, das die Entwicklung automatisierter Fahrfunktionen vorantreibt.
Überblick Publikationen
1 Royden Wagner, Ömer Şahin Taş, Marvin Klemp, Carlos Fernandez, Christoph Stiller
RedMotion: Motion Prediction via Redundancy Reduction, 27.5.2024
2 Kashyap Chitta, Daniel Dauner, Andreas Geiger: SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic, European Conference on Computer Vision (ECCV) 2024 in Milano, Italy, 29.9.2024
3 Daniel Dauner, Marcel Hallgarten, Tianyu Li, Xinshuo Weng, Zhiyu Huang, Zetong Yang, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta: NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking, Conference on Neural Information Processing Systems (NeurIPS) 2024, in Vancouver, Canada, 9.12.2024
4 Mohamed-Khalil Bouzidi, Bojan Derajic, Daniel Göhring, Jörg Reichardt: Motion Planning under Uncertainty: Integrating Learning-Based Multi-Modal Predictors into Branch Model Predictive Control, IEEE International Conference on Intelligent Transportation Systems, Edmonton, Canada, 24.-27.9.2024
5 Nick Stracke, Stefan Andreas Baumann, Josh Susskind, Miguel Angel Bautista, Björn Ommer: CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models, ECCV, Milan, 29.9.-4.10.2024
6 Vincent Tao Hu, Stefan Andreas Baumann, Ming Gui, Olga Grebenkova, Pingchuan Ma, Johannes Fischer, Björn Ommer: ZigMa: A DiT-style Zigzag Mamba Diffusion Model, ECCV, Milan, 29.9.-4.10.2024
7 Joannes S Fischer, Ming Gui, Pingchuan Ma, Nick Stracke, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer: FMBoost: Boosting Latent Diffusion with Flow Matching, ECCV, Milan, 29.9.-4.10.2024
8 Omer Sahin Tas, Royden Wagner: Words in Motion: Extracting Interpretable Control Vectors for Motion Transformers, Conference on Neural Information Processing Systems (NeurIPS) 2024,Vancouver, Canada, 9.12.2024
9 Royden Wagner, Ömer Şahin Taş, Marvin Klemp, Carlos Fernandez: JointMotion: Joint Self-Supervision for Joint Motion Prediction, Conference on Robot Learning (CoRL), Munich, 6.11.24
10 Kumar Manas, Stefan Zwicklbauer, Adrian Paschke: CoT-TL: Low-Resource Temporal Knowledge Representation of Planning Instructions using Chain-of-Thought Reasoning, IEEE/RSJ International Conference on Intelligent Robots and Systems, Abu Dhabhi, 14.10.24
11 Dmytro Kotovenko, Olga Grebenkova, Nikolaos Sarafianos, Avinash Paliwal, Pingchuan Ma, Omit Poursaeed, Sreyas Mohan, Yuchen Fan, Yilei Li, Rakesh Ranjan, Björn Ommer: WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians, ECCV, Milan, 29.9.-4.10.2024
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