Driver activity recognition using spatial‐temporal graph convolutional LSTM networks with attention mechanism
Abstract Driver activity engagement while driving plays a vital role that leads to negative outcomes of driving safety. To reduce traffic accidents and ensure driving safety, real‐time driver activity recognition architecture is proposed in this study. Specifically, a total of eight kinds of common...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-02-01
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| Series: | IET Intelligent Transport Systems |
| Online Access: | https://doi.org/10.1049/itr2.12025 |