Social-aware trajectory prediction using goal-directed attention networks with egocentric vision

This study presents a novel social-goal attention networks (SGANet) model that employs a vision-based multi-stacked neural network framework to predict multiple future trajectories for both homogeneous and heterogeneous road users. Unlike existing methods that focus solely on one dataset type and tr...

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Bibliographic Details

Published in:	PeerJ Computer Science
Main Authors:	Lia Astuti, Chui-Hong Chiu, Yu-Chen Lin, Ming-Chih Lin
Format:	Article
Language:	English
Published:	PeerJ Inc. 2025-04-01
Subjects:	Social-goal attention networks Heterogeneous road users Multimodal trajectory prediction Socially-aware interaction correlation Goal-directed forecaster
Online Access:	https://peerj.com/articles/cs-2842.pdf