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A Spatial-Temporal Attention Model for Human Trajectory Prediction

Xiaodong Zhao Yaran Chen Jin Guo Dongbin Zhao

自动化学报(英文版)2020,Vol.7Issue(4):965-974,10.
自动化学报(英文版)2020,Vol.7Issue(4):965-974,10.DOI:10.1109/JAS.2020.1003228

A Spatial-Temporal Attention Model for Human Trajectory Prediction

A Spatial-Temporal Attention Model for Human Trajectory Prediction

Xiaodong Zhao 1Yaran Chen 2Jin Guo 1Dongbin Zhao2

作者信息

  • 1. School of Automation and Electrical Engineering,University of Science and Technology Beijing, Beijing 100083
  • 2. State Key Laboratory of Management and Control for Complex Systems, Institute of Automation,Chinese Academy of Sciences, Beijing 100190, China
  • 折叠

摘要

关键词

Attention mechanism/long-short term memory (LSTM)/spatial-temporal model/trajectory prediction

Key words

Attention mechanism/long-short term memory (LSTM)/spatial-temporal model/trajectory prediction

引用本文复制引用

Xiaodong Zhao,Yaran Chen,Jin Guo,Dongbin Zhao..A Spatial-Temporal Attention Model for Human Trajectory Prediction[J].自动化学报(英文版),2020,7(4):965-974,10.

基金项目

This workwas supported by the National Key Research and Development Program of China (2018AAA0101005, 2018AAA0102404), the Program of the Huawei Technologies Co. Ltd. (FA2018111061SOW12), the National Natural Science Foundation of China (61773054), and the Youth Research Fund of the StateKey Laboratory of Complex Systems Management and Control (20190213). (2018AAA0101005, 2018AAA0102404)

自动化学报(英文版)

OACSCDCSTPCDEI

2329-9266

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