Optimally-Weighted Multi-Scale Local Feature Fusion Network for Driver Distraction Recognition
Distracted driving is one of the main contributors to traffic accidents. In this work, we propose a novel multi-scale local feature fusion network for image-based distracted driver detection. Since the driver is the most important part to infer the distracted driver actions in a single image, our pr...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9963524/ |