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SSAGCN: Social Soft Attention Graph Convolution Network for Pedestrian Trajectory Prediction

Pedestrian trajectory prediction is an important technique of autonomous driving, which has become a research hot-spot in recent years. In order to accurately predict the reasonable future trajectory of pedestrians, it is inevitable to consider social interactions among pedestrians and the influence of surrounding scene simultaneously.

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Cite this as

Pei Lv, Wentong Wang, Yunxin Wang, Yuzhen Zhang, Mingliang Xu, Changsheng Xu (2024). Dataset: SSAGCN: Social Soft Attention Graph Convolution Network for Pedestrian Trajectory Prediction. https://doi.org/10.57702/9fmbom5m

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2112.02459
Author	Pei Lv
More Authors	Wentong Wang Yunxin Wang Yuzhen Zhang Mingliang Xu Changsheng Xu