Spatio-temporal interaction aware and trajectory distribution aware graph convolution network for pedestrian multimodal trajectory prediction

• Main Authors: Wang, Ruiping, Song, Xiao, Hu, Zhijian, Cui, Yong
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Electrical and electronic engineering; Graph Convolution Network; Pedestrian Trajectory Prediction
• Online Access: https://hdl.handle.net/10356/170746
• Institution: Nanyang Technological University

Pedestrian trajectory prediction is a critical research area with numerous domains, e.g., blind navigation, autonomous driving systems, and service robots. There exist two challenges in this research field: spatio-temporal interaction modeling among pedestrians and the uncertainty of pedestrian traj...