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: | , , , , |
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其他作者: | |
格式: | Article |
語言: | English |
出版: |
2022
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在線閱讀: | https://hdl.handle.net/10356/163811 |
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機構: | Nanyang Technological University |
語言: | English |