Goal-Guided Graph Attention Network with Interactive State Refinement for Multi-Agent Trajectory Prediction

Goal-Guided Graph Attention Network with Interactive State Refinement for Multi-Agent Trajectory Prediction

The accurate prediction of the future trajectories of traffic participants is crucial for enhancing the safety and decision-making capabilities of autonomous vehicles. Modeling social interactions among agents and revealing the inherent relationships is crucial for accurate trajectory prediction. In...

Full description

Bibliographic Details
Main Authors: Jianghang Wu, Senyao Qiao, Haocheng Li, Boyu Sun, Fei Gao, Hongyu Hu, Rui Zhao
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Sensors
Subjects:
autonomous driving
trajectory prediction
attention mechanism
scene feature map
Online Access:https://www.mdpi.com/1424-8220/24/7/2065

Internet

https://www.mdpi.com/1424-8220/24/7/2065

Similar Items