Title | ||
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ES-DQN: A Learning Method for Vehicle Intelligent Speed Control Strategy Under Uncertain Cut-In Scenario |
Abstract | ||
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Uncertain cut-in maneuver of vehicles from adjacent lanes makes it difficult for vehicle's automatic speed control strategy to make judgments and effective control decisions. In this paper, an intelligent speed control strategy for uncertain cut-in scenarios is established based on a basic autonomous driving system. This strategy judges cut-in maneuver from surrounding vehicles and outputs adaptiv... |
Year | DOI | Venue |
---|---|---|
2022 | 10.1109/TVT.2022.3143840 | IEEE Transactions on Vehicular Technology |
Keywords | DocType | Volume |
Velocity control,Autonomous vehicles,Control systems,Q-learning,Training,Learning systems,Wheels | Journal | 71 |
Issue | ISSN | Citations |
3 | 0018-9545 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Qingyun Chen | 1 | 2 | 1.36 |
Wanzhong Zhao | 2 | 24 | 7.95 |
Lin Li | 3 | 0 | 0.34 |
Chunyan Wang | 4 | 1 | 0.72 |
Feng Chen | 5 | 6 | 4.07 |