Multimodal Urban Sensing and Representation for Autonomous Mobility
UrbanState focuses on methods for turning multimodal urban observations into representations that support perception, prediction, planning, and decision making for autonomous mobility. The workshop addresses a practical gap: urban sensors and mobility traces are abundant, but shared representations across platforms, places, and time remain limited.
Many current approaches treat sensor streams and mobility traces separately, which limits cross-platform fusion, transfer, and city-scale reasoning. UrbanState brings together researchers from computer vision, autonomous driving, intelligent transportation, and urban computing to discuss cross-platform fusion, city-scale mapping, digital twins, uncertainty modeling, and mobility decisions. Orlando's active AV testing environment and WACV's applied focus make it a strong setting for this discussion.
We invite papers, surveys, datasets, benchmarks, demos, and applications on the following topics.
Multimodal and cross-platform perception methods for autonomous systems operating in complex urban environments.
Urban scene representations for city-scale mapping, understanding, and reasoning.
Representation-informed perception, prediction, planning, and end-to-end mobility.
Cross-city and cross-sensor transfer, along with vision-language and multimodal foundation models.
Urban vision datasets, benchmarks, simulation, and evaluation protocols.
Survey papers and other applications for urban sensing and representation.
Our invited speaker lineup is being finalized. Check back soon for announcements.
Keynote Speaker
Details coming soon.
Invited Speaker
Details coming soon.
Invited Speaker
Details coming soon.
Half-day format. Exact times will be finalized closer to the workshop.
Poster session details (12 poster boards requested) will be announced with the full program.
UrbanState invites submissions on multimodal urban sensing and representation for autonomous mobility. Suitable submissions include original research, datasets, benchmarks, applications, systems, evaluation studies, surveys, and position papers at the intersection of computer vision, autonomous driving, intelligent transportation, urban computing, robotics, and digital twins.
See Call for Papers & Topics above for the full list of scope areas.
Please download the official WACV 2027 LaTeX/Word templates and detailed formatting instructions directly from the main conference Author Guide:
Official WACV 2027 Author Guides & Templates
University of Central Florida · Primary Contact
Postdoctoral Scholar working on sensor co-design and end-to-end driving, presented at ICCV, CVPR, and ECCV-affiliated workshops (including TinyBEV); currently working on vision-grounded urban mobility representation at UCF.
University of Central Florida
Assistant Professor with 30+ peer-reviewed papers on intelligent transportation systems, digital twin technology, autonomous driving, and applied AI/ML for smart mobility. Associate editor, IEEE Open Journal of Intelligent Transportation Systems.
University of Central Florida
Associate Professor and founding director of the URBANITY Lab and Future City Initiative, focused on cyber-physical systems, smart transportation, and connected/autonomous vehicles. Associate editor, IEEE Transactions on Intelligent Transportation Systems.
University of Arkansas
Professor whose research spans real-time video analysis, image processing, and computer vision, including scene-transition detection, large-scale video indexing and retrieval, and biomedical image segmentation and motion tracking.
University of Arkansas
Professor researching information retrieval, ontologies, and personalization. Holds the Rodger S. Kline Leadership Chair; former head of the Department of Computer Science and Computer Engineering.
Purdue University
Postdoctoral Researcher focused on multimodal perception, cooperative sensing, and human-centered AI for autonomous driving and intelligent transportation systems. Previously organized workshops at IV, ITSC, CVPR, and ICCV.
Purdue University
Assistant Professor with 80+ papers and 50+ patent applications on autonomous vehicles and intelligent transportation systems. Associate editor, IEEE T-ITS, T-IV, IoT Journal, and IEEE Network. Previously organized workshops at CVPR, ICCV, WACV, ITSC, and IV.
University of South Florida
Assistant Professor in Transportation Engineering and his research spans from traffic flow theory to emerging vehicle technologies, and AI-enabled transportation mobility. He has published extensively in empirical driving characterization, modeling, prediction, and multimodal automation and cooperation using synchronized dashcam videos and decoded CAN streams.
Additional reviewers will be recruited to cover all CFP topics and submitted papers.