DiffAttn: Diffusion-Based Drivers’ Visual Attention Prediction with LLM-Enhanced Semantic Reasoning
arXiv:2603.28251v2 Announce Type: replace
Abstract: Drivers’ visual attention provides critical cues for anticipating latent hazards and directly shapes decision-making and control maneuvers, where its absence can compromise traffic safety. To emulate…