Vehicle Trajectory Prediction Using Hierarchical Graph Neural Network for Considering Interaction among Multimodal Maneuvers

Vehicle Trajectory Prediction Using Hierarchical Graph Neural Network for Considering Interaction among Multimodal Maneuvers

Predicting the trajectories of surrounding vehicles by considering their interactions is an essential ability for the functioning of autonomous vehicles. The subsequent movement of a vehicle is decided based on the multiple maneuvers of surrounding vehicles. Therefore, to predict the trajectories of...

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Bibliographic Details
Main Authors: Eunsan Jo, Myoungho Sunwoo, Minchul Lee
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sensors
Subjects:
interaction-aware trajectory prediction
deep learning-based trajectory prediction
graph neural network
hierarchical structure
multimodal maneuver
autonomous vehicle
Online Access:https://www.mdpi.com/1424-8220/21/16/5354

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