AI RESEARCH
Pedestrian Crossing Intention Prediction Using Multimodal Fusion Network
arXiv CS.AI
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ArXi:2511.20008v2 Announce Type: replace-cross Pedestrian crossing intention prediction is essential for the deployment of autonomous vehicles (AVs) in urban environments. Ideal prediction provides AVs with critical environmental cues, thereby reducing the risk of pedestrian-related collisions. However, the prediction task is challenging due to the diverse nature of pedestrian behavior and its dependence on multiple contextual factors.