AI RESEARCH
Behavior-Grounded Lane Representation Learning for Multi-Task Traffic Digital Twins
arXiv CS.CV
•
ArXi:2605.01901v1 Announce Type: new Traffic digital twins are powerful tools for advanced traffic management, and most systems are built on static geometric representations. However, these representations fail to capture the dynamic functional semantics required for behavior-aware reasoning, such as how a lane operates under complex traffic conditions. To address this gap, we