1 Royden Wagner, Ömer Şahin Taş, Marvin Klemp, Carlos Fernandez, Christoph Stiller: RedMotion: Motion Prediction via Redundancy Reduction, Transactions on Machine Learning Research, 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 Ömer Şahin Taş, Royden Wagner: Words in Motion: Extracting Interpretable Control Vectors for Motion Transformers, International Conference on Learning Representations (ICLR) 2025, Singapore, Singapore, 24.04.2025

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

12 Marius Kästingschäfer, Théo Gieruc, Sebastian Bernhard, Dylan Campbell, Eldar Insafutdinov, Eyvaz Najafli, Thomas Brox: SEED4D: A Synthetic Ego–Exo Dynamic 4D Data Generator, Driving Dataset and Benchmark, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2025), Tucson, Arizona, 28.2.2025

13 Laurenz Adolph, Barbara Schütt, David Kraus, Eric Sax: Navigating Dimensionality Through State Machines in Automotive System Validation, MODELSWARD 2025, Porto, Portugal, 26.2.25

14 Natalie Grabowsky, Annika Mütze, Joshua Wendland, Nils Jansen, Matthias Rottmann: Does Knowledge About Perceptual Uncertainty Help an Agent in Automated Driving?, IEEE Intelligent Vehicles Symposium, Cluj-Napoca, Romania, 22-25.6.25

15 Franz Andert, Oliver Böttcher, Aditya Mushyam, Philipp Schmälzle: Semantic LiDAR Point Cloud Mapping and Cloud-Based SLAM for Autonomous Driving, IEEE/ION PLANS 2025 Salt Lake Downtown City Creek, UT, USA, 28.4.-1.5.2025

16 Ming Gui, Johannes Schusterbauer, Ulrich Prestel, Pingchuan Ma, Dmytro Kotovenko, Olga Grebenkova, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer: DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching, AAAI Conference on Artificial Intelligence, Philadelphia, USA, 27.2.-4.3.2025

17 Pingchuan Ma, Lennart Rietdorf, Dmytro Kotovenko, Vincent Tao Hu, Björn Ommer: Does VLM Classification Benefit from LLM Description Semantics?  AAAI Conference on Artificial Intelligence, Philadelphia, USA, 27.2.-4.3.2025

18 Dominik Grundt, Astrid Rakow, Philipp Borchers, Eike Möhlmann: What does AI Need to Know to Drive: Testing Relevance of Knowledge, Science of Computer Programming

19 Katharina Winter, Mark Azer, Fabian Flohr: BEVDriver: Leveraging BEV Maps in LLMs for Robust Closed-Loop Driving, IEEE, 5.5.2025

20 Katharina Winter, Abhishek Vivekanandan, Rupert Polley, Yinzhe Shen, Christian Schlauch, Mohamed-Khalil Bouzidi, Bojan Derajic, Natalie Grabowsky, Annajoyce Mariani, Dennis Rochau, Giovanni Lucente, Harsh Yadav, Firas Mualla, Adam Molin, Sebastian Bernhard, Christian Wirth, Ömer Sahin Tas, Nadja Klein, Fabian Flohr, Hanno Gottschalk: Generative AI for Autonomous Driving: A Review, IEEE, 5.5.2025

21 Shuxiao Ding, Yutong Yang, Julian Wiederer, Markus Braun, Peizheng Li, Juergen Gall, Bin Yang: TQD-Track: Temporal Query Denoising for 3D Multi-Object Tracking, 4.4.2025

22 Sebastian Berger, Katharina Winter, Fabian Flohr: Parameter-Efficient Learning for Visual Grounding and Navigation Under Data and Resource Constraints

23 Kumar Manas, Adrian Paschke: Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey, Forty-Second International Conference on Machine Learning, Vancouver, Canada, 13.-19.7.2025

24 Annika Mütze, Natalie Grabowsky, Edgar Heinert, Matthias Rottmann, Hanno Gottschalk: On the Influence of Shape, Texture and Color for Learning Semantic Segmentation, Forty-Second International Conference on Machine Learning, Vancouver, Canada, 13.-19.7.2025

25 Arian Mousakhan, Sudhanshu Mittal, Silvio Galesso, Karim Farid, Thomas Brox: Orbis: Overcoming Challenges of Long-Horizon Prediction in Driving World Models

26 Samed Dogan, Maximilian Hoh, Nico Leuze, Nikolas R.-Pena, Alfred Schöttl: Towards Solar Altitude Guided Scene Illumination

27 Stefan Englmeier , Max A. Büttner , Katharina Winter , and Fabian B. Flohr: Context-based Motion Retrieval using Open Vocabulary Methods for Autonomous Driving

28 Yue Yao, Mohamed-Khalil Bouzidi, Daniel Goehring, Joerg Reichardt: EP-Diffuser: An Efficient Diffusion Model for Traffic Scene Generation and Prediction via Polynomial Representations, IEEE Robotics and Automation Letters Journal, 1.8.2025

29 Kumar Manas, Christian Schlauch Adrian Paschke, Chirstian Wirth, Nadja Klein: Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification, Robotics Science and Systems (RSS) 2025, California USA, 30.6.2025

30 Bojan Derajić, Mohamed-Khalil Bouzidi, Sebastian Bernhard, Wolfgang Hönig: Learning Maximal Safe Sets Using Hypernetworks for MPC-based Local Trajectory Planning in Unknown Environments, IEEE Robotics and Automation Letters Journal, 14.7.2025

31 Bojan Derajić, Mohamed-Khalil Bouzidi, Sebastian Bernhard, Wolfgang Hönig: Residual Neural Terminal Constraint for MPC-based Collision Avoidance in Dynamic Environments, CoRL 2025; Seoul, South Korea, 27.9.2025

32 Mohamed Parvez Aslam, Bojan Derajic, Mohamed-Khalil Bouzidi, Sebastian Bernhard, Jan Oliver Ringert: Model Predictive Control for Crowd Navigation via Learning-Based Trajectory Prediction, ICINCO 2025; Marbella, Spain, 20.10.2025

33 Mert Keser, Sinan Simsek, Deniz Karacor, Alois Knoll: Subset Selection for Autonomous Driving Datasets via Fine-Tuning Vision Foundation Models, IEEE IV 2025, 22.6.2025

34 Kumar Manas, Mert Keser, Alois Knoll: Integrating Legal and Logical Specifications in Perception, Prediction, and Planning for Automated Driving: A Survey of Methods, IEEE IAVVC 2025, Baden-Baden, Germany, 30.9.2025

35 Mert Keser, Halil Ibrahim Orhan, Niki Amini-Naieni, Gesina Schwalbe, Alois Knoll, Matthias Rottmann: Benchmarking Vision Foundation Models for Input Monitoring in Autonomous Driving, BMVC 2025, Sheffield, UK, 24.-27.9.2025

36 Annajoyce Mariani, Kira Maag, Hanno Gottschalk: VideoGAN-based Trajectory Proposal for Automated Vehicles, British Machine Vision Conference, Sheffield, UK, 24.-27.11.25

37 Joshua Niemeijer, Jan Ehrhardt, Heinz Handels, Hristina Uzunova: Uncertainty-Aware ControlNet: Bridging Domain Gaps with Synthetic Image Generation, ICCV 2025 IEEE, The 4th Workshop on What is Next in Multimodal Foundation Models, Honolulu, Hawaii, 19-20.10.2025

38 Kumar Manas, Mert Keser, Alois Knoll: Integrating Legal and Logical Specifications in Perception, Prediction, and Planning for Automated Driving: A Survey of Methods, IEEE IAVVC 2025, Baden-Baden, Germany, 30.9.2025

39 Mohan Ramesh, Mark Azer, Fabian Flohr: HABIT: Human Action Benchmark for Interactive Traffic in CARLA, WACV, Tucson, Arizona, USA, 06.03.2026

40 Arunachalam Thirunavukkarasu, Domenik Helms, Christian Ojeda-Bernal, Sven Mantowsky, Saqib Bukhari, Robert Bücs: Generative AI in Automotive Industry Generative AI in automotive, Advances in Artificial Intelligence and Machine Learning (AAIML)

41 Stefan Andreas Baumann, Nick Stracke, Timy Phan, Björn Ommer: What If: Understanding Motion Through Sparse Interactions, ICCV 2025, Honolulu, Hawai’i, 19.-23.10.2025

42 Felix Krause, Timy Phan, Ming Gui, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer: TREAD: Token Routing for Efficient Architecture-agnostic Diffusion Training, ICCV 2025, Honolulu, Hawai’i, 19.-23.10.2025

43 Nick Stracke, Stefan Andreas Baumann, Kolja Bauer, Frank Fundel, Björn Ommer: CleanDIFT: Diffusion Features without Noise, CVPR 2025, Nashville, 11.-15.06.2025

44 Arpit Jadon, Joshua Niemeijer, Yuki M. Asano: Test-Time Modification: Inverse Domain Transformation for Robust Perception, 15.12.2025