Correction to "Improving Multi-Agent Trajectory Prediction Using Traffic States on Interactive Driving Scenarios" [May 23 2708-2715]

Presents corrections to the article "Improving Multi-Agent Trajectory Prediction Using Traffic States on Interactive Driving Scenarios".

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Bibliographic Details
Published in:IEEE robotics and automation letters 2023-11, Vol.8 (11), p.7519-7519
Main Authors: Vishnu, Chalavadi, Abhinav, Gottala Vineel, Roy, Debaditya, Mohan, C. Krishna, Babu, Ch. Sobhan
Format: Article
Language:English
Subjects:
Generative adversarial networks
Multi-agent systems
Predictive models
Road vehicles
Trajectory
Transformers
Citations: Items that this one cites
Online Access:Get full text
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Description
Summary:Presents corrections to the article "Improving Multi-Agent Trajectory Prediction Using Traffic States on Interactive Driving Scenarios".
ISSN:2377-3766
2377-3766
DOI:10.1109/LRA.2023.3320320