Multi-agent trajectory prediction with heterogeneous edge-enhanced graph attention network

Multi-agent trajectory prediction with heterogeneous edge-enhanced graph attention network

Simultaneous trajectory prediction for multiple heterogeneous traffic participants is essential for safe and efficient operation of connected automated vehicles under complex driving situations. Two main challenges for this task are to handle the varying number of heterogeneous target agents and joi...

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Bibliographic Details
Main Authors: Mo, Xiaoyu, Huang, Zhiyu, Xing, Yang, Lv, Chen
Other Authors: School of Mechanical and Aerospace Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Mechanical engineering
Trajectory Prediction
Connected Vehicles
Online Access:https://hdl.handle.net/10356/162966

Internet

https://hdl.handle.net/10356/162966

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