ES-DQN: A Learning Method for Vehicle Intelligent Speed Control Strategy Under Uncertain Cut-In Scenario

IEEE Transactions on Vehicular Technology(2022)

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摘要
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...
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关键词
Velocity control,Autonomous vehicles,Control systems,Q-learning,Training,Learning systems,Wheels
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