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End-to-End Autonomous Decision-Making Method for Intelligent Vehicles Based on ResNet-CBAM-BiLSTM

To solve the difficulty of autonomous decision-making caused by the complex driving environment and changeable weather conditions, an end-to-end autonomous decision-making method based on residual network (ResNet), convolutional block attention module (CBAM) and bidirectional long short-term memory...

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Principais autores: Yigao Ning, Xibo Fang, Xuan Zhao, Shu Wang, Jianbo Zheng
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2026-02-01
סדרה:Actuators
נושאים:
intelligent vehicles
end-to-end
decision-making
ResNet-CBAM-BiLSTM
multi-scenario verification
גישה מקוונת:https://www.mdpi.com/2076-0825/15/2/84
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