Recongnition of Distracted Driving Behavior Based on Improved Bi-LSTM Model and attention mechanism

Distracted driving, a leading cause of traffic accidents with severe consequences, still faces numerous technical challenges in practical implementation for recognizing unsafe driving behavior. These challenges include the complexity of feature extraction using traditional convolutional neural netwo...

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Veröffentlicht in:	IEEE access 2024-01, Vol.12, p.1-1
Hauptverfasser:	Wang, Zhanfeng, Yao, Lisha
Format:	Artikel
Sprache:	eng
Schlagworte:	Accidents Accuracy Artificial neural networks Attention Mechanisms Bi-LSTM CNN Convolutional neural networks Distracted Driving Driver behavior Feature extraction Hidden Markov models Image classification Image enhancement Long short term memory Neural networks Recognition Redundancy Speed limits Traffic accidents Traffic control Vehicle driving
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