A Recurrent Attention and Interaction Model for Pedestrian Trajectory PredictionOACSCDCSTPCD
A Recurrent Attention and Interaction Model for Pedestrian Trajectory Prediction
Xuesong Li;Yating Liu;Kunfeng Wang;Fei-Yue Wang
State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, University of Chinese Academy of Sciences, Beijing 100049, ChinaState Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, University of Chinese Academy of Sciences, Beijing 100049, ChinaCollege of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, ChinaState Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
Deep learninglong short-term memory (LSTM)recurrent attention and interaction (RAI) modeltrajectory prediction
Deep learninglong short-term memory (LSTM)recurrent attention and interaction (RAI) modeltrajectory prediction
《自动化学报（英文版）》 2020 (5)
1361-1370,10
This work was supported by the National Natural Science Foundation of China (U1811463) and the Fundamental Research Funds for the Central Universities (12060093192).
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