The 10th AI City Challenge, held with ECCV 2026, marks a decade of community benchmarking for intelligent transportation, smart cities, and physical AI with 325 registered teams, and participation from 26 countries and regions, up from 15.
Zheng-Hang Tang, Shuo Wang, David C. Anastasiu et al.· 8 citations· ⚡2
TAR and TAR-Bench serve as the official training and in-domain evaluation resources for AI City Challenge 2026 Track 3 and highlight persistent limitations in temporal precision and causal attribution.
Han Zhang, Yi-Lin Zhao, Zaid Pervaiz Bhat et al.· 1 citation
As Vision-Language Models (VLMs) advance toward physical deployment, the focus has remained on action-oriented Embodied AI evaluated on subject-centric consumer video. This overlooks a pervasive class of Physical AI: Infrastructure AI, which relies on fixed cameras for open-loop insights like safety monitoring and oper...