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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Main Authors: | Xu, Can, Zhao, Wanzhong, Liu, Jinqiang, Wang, Chunyan, Lv, Chen |
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Other Authors: | School of Mechanical and Aerospace Engineering |
Format: | Article |
Language: | English |
Published: |
2022
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/163811 |
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Institution: | Nanyang Technological University |
Language: | English |
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