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Enhancing cross-dataset performance in distracted driver detection using body part activity recognition.
Detecting distracted drivers is a crucial task, and the literature proposes various deep learning-based methods. Among these methods, convolutional neural networks dominate because they can extract and learn image features automatically. However, even though existing methods have reported remarkable...
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| Format: | Thesis |
| Language: | English Eng |
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Department of Electrical Engineering
2025
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