AI RESEARCH
Digital-Twin Losses for Lane-Compliant Trajectory Prediction at Urban Intersections
arXiv CS.CV
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ArXi:2603.05546v1 Announce Type: cross Accurate and safety-conscious trajectory prediction is a key technology for intelligent transportation systems, especially in V2X-enabled urban environments with complex multi-agent interactions. In this paper, we created a digital twin-driven V2X trajectory prediction pipeline that jointly leverages cooperative perception from vehicles and infrastructure to forecast multi-agent motion at signalized intersections. The proposed model combines a Bi-LSTM-based generator with a structured.