A Review of End-to-End Autonomous Driving in Urban Environments

A Review of End-to-End Autonomous Driving in Urban Environments

Autonomous driving in urban environments requires intelligent systems that are able to deal with complex and unpredictable scenarios. Traditional modular approaches focus on dividing the driving task into standard modules, and then use rule-based methods to connect those different modules. As such,...

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Bibliographic Details
Main Authors: Daniel Coelho, Miguel Oliveira
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Autonomous driving
end-to-end
imitation learning
reinforcement learning
urban environments
Online Access:https://ieeexplore.ieee.org/document/9832636/

Internet

https://ieeexplore.ieee.org/document/9832636/

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