Incremental End-to-End Learning for Lateral Control in Autonomous Driving

Incremental End-to-End Learning for Lateral Control in Autonomous Driving

The use of high-quality data is required to complete the job of lateral control utilizing Behavioral Cloning (BC) through an End-to-End (E2E) learning system. The majority of E2E learning systems gather this high-quality data all at once before beginning the training phase (i.e., the training proces...

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Bibliographic Details
Main Authors: Jaerock Kwon, Aws Khalil, Donghyun Kim, Haewoon Nam
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Behavioral cloning
end-to-end learning
artificial intelligence
autonomous systems
intelligent systems
machine learning
Online Access:https://ieeexplore.ieee.org/document/9737528/

Internet

https://ieeexplore.ieee.org/document/9737528/

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