An integrated decision-making framework for highway autonomous driving using combined learning and rule-based algorithm

An integrated decision-making framework for highway autonomous driving using combined learning and rule-based algorithm

In order to solve the manual labelling, long-tail effect and driving conservatism of the existing decision-making algorithm. This paper proposed an integrated decision-making framework (IDF) for highway autonomous vehicles. Firstly, states of the highway traffic are extracted by the velocity, time h...

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Bibliographic Details
Main Authors: Xu, Can, Zhao, Wanzhong, Liu, Jinqiang, Wang, Chunyan, Lv, Chen
Other Authors: School of Mechanical and Aerospace Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Mechanical engineering
Autonomous Vehicles
Highway Driving
Online Access:https://hdl.handle.net/10356/163811

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