Spatio-Temporal Interaction Aware and Trajectory Distribution Aware Graph Convolution Network for Pedestrian Multimodal Trajectory Prediction-Reference-Cited by-同舟云学术

Spatio-Temporal Interaction Aware and Trajectory Distribution Aware Graph Convolution Network for Pedestrian Multimodal Trajectory Prediction

Author:

Wang Ruiping¹^ORCID,Song Xiao²^ORCID,Hu Zhijian³^ORCID,Cui Yong¹^ORCID

Affiliation:

1. School of Automation Science and Electrical Engineering, Beihang University, Beijing, China

2. School of Cyber Science and Technology, Beihang University, Beijing, China

3. School of Electrical and Electronic Engineering, Nanyang Technological University, Jurong West, Singapore

Funder

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference47 articles.

5. SGCN: Sparse graph convolution network for pedestrian trajectory prediction;shi;Proc IEEE Conf Comput Vis and Pattern Recog,2021

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