Multi‐future Transformer: Learning diverse interaction modes for behaviour prediction in autonomous driving

Abstract Predicting the future behaviour of neighbouring agents is crucial for autonomous driving. This task is challenging, largely because of the diverse unobservable intent of each agent which is further complicated by the complex interaction possibilities between them. The authors propose a mult...

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Bibliographic Details
Main Authors: Baotian He, Yibing Li
Format: Article
Language:English
Published: Wiley 2022-09-01
Series:IET Intelligent Transport Systems
Online Access:https://doi.org/10.1049/itr2.12207

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