Title
ES-DQN: A Learning Method for Vehicle Intelligent Speed Control Strategy Under Uncertain Cut-In Scenario
Abstract
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 Chen121.36
Wanzhong Zhao2247.95
Lin Li300.34
Chunyan Wang410.72
Feng Chen564.07