The DriveX Workshop explores the integration of foundation models and V2X-based cooperative systems to improve perception, planning, and decision-making in autonomous vehicles. While traditional single-vehicle systems have advanced tasks like 3D object detection, emerging challenges like holistic scene understanding and 3D occupancy prediction require more comprehensive solutions. Collaborative driving systems, utilizing V2X communication and roadside infrastructure, extend sensory range, provide hazard warnings, and improve decision-making through shared data. Simultaneously, foundation models like Vision-Language Models (VLMs) offer generalization abilities, enabling zero-shot learning, open-vocabulary recognition, and scene explanation for novel scenarios. Recent advancements in end-to-end systems and foundation models like DriveLLM further enhance autonomous systems. The workshop aims to bring together experts to explore these technologies, address challenges, and advance road safety.

• Foundation Models for Cooperative Autonomous Driving and Intelligent Transportation Systems
• Vision-Language Models (VLMs) for Traffic Scene Understanding
• Large Language Model (LLM)-assisted Cooperative Systems
• Communication-Efficient Cooperative Perception for Autonomous Vehicles
• Efficient and Intelligent Vehicle-to-everything (V2X) Communication
• Dataset Curation and Data Labeling for Autonomous Driving
• Datasets and Benchmarks for Foundation Models and Cooperative Perception
• 3D Object Detection and Semantic Segmentation of Vulnerable Road Users (VRUs)
• 3D Occupancy Prediction and Scene Understanding
• End-to-end Perception and Real-time Decision-Making Systems
• Vehicle-to-Infrastructure (V2I) Interaction
• Safety and Standards in Autonomous Driving

08:20 - 08:30	Opening Remarks (Welcome & Introduction)
08:30 - 08:50	Keynote 1: Maria Lyssenko (Technical Uni. of Munich, TUM & BOSCH, Germany)
08:50 - 09:10	Keynote 2: Prof. Dr. Jiaqi Ma (Uni. of California, Los Angeles, UCLA, USA)
09:10 - 09:30	Keynote 3: Dr. Mingxing Tan (Waymo, USA)
09:30 - 09:50	Keynote 4: Prof. Dr. Philipp Krähenbühl (University of Texas at Austin)
09:50 - 10:10	Keynote 5: (remote) Prof. Dr. Cyrill Stachniss (University of Bonn, Germany)
10:10 - 10:20	Poster Session & Coffee Break
10:20 - 10:40	Keynote 6: Prof. Dr. Trevor Darrell (University of California Berkeley, USA)
10:40 - 11:00	Keynote 7: Prof. Dr. Marco Pavone (NVIDIA & Stanford University, USA)
11:00 - 11:20	Keynote 8: Prof. Dr. Laura Leal-Taixé (NVIDIA & Technical University of Munich, Italy/Germany)
11:20 - 12:00	Panel Discussion I
12:00 - 13:00	Lunch Break
13:00 - 13:20	Keynote 9: Prof. Dr. Angela Dai (Technical University of Munich, Germany)
13:20 - 13:40	Keynote 10: Prof. Dr. Cheng Feng (New York University, USA)
13:40 - 14:00	Keynote 11: Prof. Dr. Wolfram Burgard (Uni. of Technology Nuremberg, UTN, Germany)
14:00 - 14:20	Keynote 12: Dr. Long Chen (Wayve, UK)
14:20 - 14:40	Keynote 13: Prof. Dr. Manabu Tsukada (University of Tokyo, Japan)
14:40 - 15:00	Keynote 14: Dr. Katie Luo (Stanford University, USA)
15:00 - 15:20	Keynote 15: Prof. Dr. Daniel Cremers (Technical Uni. of Munich, TUM, Germany)
15:20 - 15:40	Keynote 15: Prof. Dr. Manmohan Chandraker (University of California San Diego, UCSD, USA)
15:40 - 16:20	Panel Discussion II
16:20 - 16:30	Oral Paper Presentation 1
16:30 - 16:40	Oral Paper Presentation 2
16:40 - 16:50	Oral Paper Presentation 3
16:50 - 17:00	Oral Paper Presentation 4
17:00 - 17:10	Best Paper Award Presentation & Best Paper Awards
17:10 - 17:20	Competition Winner Presentation & Competition Awards
17:20 - 17:30	Group Picture (all Organizers and Speakers)
17:30 - 18:00	Poster Session
18:00 - 20:00	Social Mixer, Networking, Dinner (Location will be announced during the workshop)