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Huandong Wang

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Book Open access Aug 2026

RAPID: A Scalable and Controllable Physics-Informed Diffusion Framework for Real-Time Pedestrian Trajectory Generation

This work proposes Real-time Adaptive Physics-Informed Diffusion (RAPID), a unified framework explicitly designed to balance high-fidelity generation with strict real-time constraints, and establishes a new state-of-the-art balance between fidelity and safety.

Zihan Yu, Huandong Wang, Jing-Tao Ding et al. · 0 citations
Book Aug 2026

RAPID: A Scalable and Controllable Physics-Informed Diffusion Framework for Real-Time Pedestrian Trajectory Generation

Generating realistic and diverse pedestrian background flows is critical for numerous downstream applications, ranging from the training and validation of autonomous driving systems to the simulation of mobile communication networks. While recent diffusion-based models achieve state-of-the-art accuracy, they suffer fro...

Zihan Yu, Huandong Wang, Jingtao Ding et al. · 0 citations

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