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Adverse Weather Target Detection Algorithm Based on Adaptive Color Levels and Improved YOLOv5
With the continuous development of artificial intelligence and computer vision technology, autonomous vehicles have developed rapidly. Although self-driving vehicles have achieved good results in normal environments, driving in adverse weather can still pose a challenge to driving safety. To improve...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655315/ https://www.ncbi.nlm.nih.gov/pubmed/36366275 http://dx.doi.org/10.3390/s22218577 |