Driver distraction detection based on lightweight networks and tiny object detection
Real-time and efficient driver distraction detection is of great importance for road traffic safety and assisted driving. The design of a real-time lightweight model is crucial for in-vehicle edge devices that have limited computational resources. However, most existing approaches focus on lighter a...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2023-09-01
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| Series: | Mathematical Biosciences and Engineering |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2023811?viewType=HTML |