A Driver Behavior Detection Model for Human-Machine Co-Driving Systems Based on an Improved Swin Transformer

A Driver Behavior Detection Model for Human-Machine Co-Driving Systems Based on an Improved Swin Transformer

Human-machine co-driving is an important stage in the development of automatic driving, and accurate recognition of driver behavior is the basis for realizing human-machine co-driving. However, traditional detection methods exhibit limitations in driver behavior detection, including low accuracy and...

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Bibliographic Details
Main Authors: Junhua Cui, Yunxing Chen, Zhao Wu, Huawei Wu, Wanghao Wu
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:World Electric Vehicle Journal
Subjects:
shared autonomy
driver behavior detection
deep learning
Swin transformer
attention mechanism
network training
Online Access:https://www.mdpi.com/2032-6653/16/1/7
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