The 2nd Edition of our 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
• Cooperative Perception & V2X communication for Autonomous Vehicles
• Dataset Curation and Data Labeling for Autonomous Driving
• Datasets and Benchmarks for Foundation Models and Cooperative Perception
• 3D Occupancy Prediction, 3D Object Detection, 3D Semantic Segmentation, and 3D Scene Understanding
• End-to-end Perception and Real-time Decision-Making Systems
• Vehicle-to-Infrastructure (V2I) Interaction

08:00 - 08:10	Opening Remarks (Welcome & Introduction)
08:10 - 08:30	Keynote 1: Prof. Dr. Angela Schoellig (TUM)
08:30 - 08:50	Keynote 2: Dr. Mingxing Tan (Waymo)
08:50 - 09:10	Keynote 3: Prof. Dr. Jiaqi Ma (University of Los Angeles, UCLA)
09:10 - 09:30	Keynote 4: Prof. Dr. Sharon Li (University of Wisconsin-Madison)
09:30 - 10:00	Poster Session I & Coffee Break
10:00 - 10:20	Keynote 5: Prof. Dr. Manmohan Chandraker (University of California San Diego, UCSD)
10:20 - 10:40	Keynote 6: Prof. Dr. Trevor Darrell (University of California Berkeley, UCB))
10:40 - 11:20	Panel Discussion I
11:20 - 12:00	Poster Session II
12:00 - 13:00	Lunch Break
13:00 - 13:20	Keynote 7: Prof. Dr. Philip Krähenbühl (University of Texas at Austin)
13:20 - 13:40	Keynote 8: Prof. Dr. Daniel Cremers (Technical University of Munich, TUM)
13:40 - 14:00	Keynote 9: Prof. Dr. Marc Pollefeys (ETH Zurich)
14:00 - 14:20	Keynote 10: Prof. Dr. Angela Dai (Technical University of Munich, TUM)
14:20 - 14:40	Keynote 11: Prof. Dr. Jiachen Li (UC Riverside)
14:40 - 15:00	Keynote 12: Prof. Dr. Marco Pavone (Stanford & NVIDIA), tentative
15:00 - 15:30	Poster Session III & Coffee Break
15:30 - 16:10	Panel Discussion II
16:10 - 16:20	Oral Paper Presentation 1
16:20 - 16:30	Oral Paper Presentation 2
16:30 - 16:40	Oral Paper Presentation 3
16:40 - 16:50	Oral Paper Presentation 4
16:50 - 17:00	Oral Paper Presentation 5
17:00 - 17:30	Poster Session IV & Coffee Break
17:30 - 17:40	Best Paper Awards Ceremony
17:40 - 17:50	Competition & Challenge Award Ceremony
17:50 - 18:00	Closing & Group Picture with all organizers and speakers
19:00 - 21:00	Workshop Reception: Social Mixer, Networking, Dinner (Location will be announced during the workshop)