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

DOI retrieved: December 16, 2024

Additional Info

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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