Fusion of Lightweight Networks and DeepSort for Fatigue Driving Detection Tracking Algorithm
The fatigue driving detection process faces issues such as a large number of parameters, low accuracy and insufficient continuous detection. To address these, this paper proposes a method combining enhanced YOLOv5s and DeepSort for fatigue driving detection. First, the improved Mobilenet_...
| Autori principali: | , , , , |
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| Natura: | Articolo |
| Lingua: | English |
| Pubblicazione: |
IEEE
2024-01-01
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| Serie: | IEEE Access |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/10496102/ |