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