Interaction-Field Residual Learning for Calibrated Lane-Change Intent under Mixed Traffic
The prediction of lane-change intent in mixed traffic environments, characterized by the coexistence of human-driven vehicles and autonomous vehicles, presents a formidable challenge due to the stochastic nature of human driving behaviors and complex vehicular interactions. Conventional trajectory prediction and intent...