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...

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Detalles Bibliográficos
Autores principales: Yao, Jiale, Fan, Xiangsuo, Li, Bing, Qin, Wenlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655315/
https://www.ncbi.nlm.nih.gov/pubmed/36366275
http://dx.doi.org/10.3390/s22218577

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