MSGC-YOLO: An Improved Lightweight Traffic Sign Detection Model under Snow Conditions
Traffic sign recognition plays a crucial role in enhancing the safety and efficiency of traffic systems. However, in snowy conditions, traffic signs are often obscured by particles, leading to a severe decrease in detection accuracy. To address this challenge, we propose an improved YOLOv8-based mod...
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| Principais autores: | , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI AG
2024-05-01
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| Serija: | Mathematics |
| Teme: | |
| Online dostop: | https://www.mdpi.com/2227-7390/12/10/1539 |
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