Title

STAFGCN: a spatial-temporal attention-based fusion graph convolution network for pedestrian trajectory prediction

Journal title

Bulletin of the Polish Academy of Sciences Technical Sciences

Yearbook

2025

Volume

73

Issue

1

Authors

Lui, Guihong ; Pan, Chenying ; Zhang, Xiaoyan ; Leng, Qiangkui

Affiliation

Lui, Guihong : School of Electronic and Information Engineering, Liaoning Technical University, Huludao, Liaoning, China ; Pan, Chenying : School of Electronic and Information Engineering, Liaoning Technical University, Huludao, Liaoning, China ; Zhang, Xiaoyan : School of Electronic and Information Engineering, Liaoning Technical University, Huludao, Liaoning, China ; Leng, Qiangkui : School of Electronic and Information Engineering, Liaoning Technical University, Huludao, Liaoning, China

Keywords

pedestrian trajectory prediction ; micro-level spatial-temporal relationship ; spatial-temporal attention ; fusion graph convolution ; time-stacked convolutional neural network

Divisions of PAS

Nauki Techniczne

Coverage

e151960

Date

09.10.2024

Type

Article

Identifier

DOI: 10.24425/bpasts.2024.151960