VR study finds eye gaze adds complementary information to pedestrian trajectory prediction models, cutting final displacement error by 8.47% when fused with situational context.
Motion style transfer: Modular low-rank adaptation for deep motion forecasting,
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Eye Gaze-Informed and Context-Aware Pedestrian Trajectory Prediction in Shared Spaces with Automated Shuttles: A Virtual Reality Study
VR study finds eye gaze adds complementary information to pedestrian trajectory prediction models, cutting final displacement error by 8.47% when fused with situational context.