Modelling of Destinations for Data-driven Pedestrian Trajectory Prediction in Public Buildings
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9671263/9671273/09671813.pdf?arnumber=9671813
Reference19 articles.
1. Social Attention: Modeling Attention in Human Crowds
2. Who are you with and where are you going?;yamaguchi;Urban Design Int,2019
3. PoPPL: Pedestrian Trajectory Prediction by LSTM With Automatic Route Class Clustering
4. AutoTrajectory: Label-Free Trajectory Extraction and Prediction from Videos Using Dynamic Points
5. Soft + Hardwired attention: An LSTM framework for human trajectory prediction and abnormal event detection
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