A Pedestrian Detection Network Model Based on Improved YOLOv5

Advanced object detection methods always face high algorithmic complexity or low accuracy when used in pedestrian target detection for the autonomous driving system. This paper proposes a lightweight pedestrian detection approach called the YOLOv5s- [Formula: see text] network to address these issue...

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Detalles Bibliográficos
Autores principales: Li, Ming-Lun, Sun, Guo-Bing, Yu, Jia-Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955538/
https://www.ncbi.nlm.nih.gov/pubmed/36832747
http://dx.doi.org/10.3390/e25020381

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955538/
https://www.ncbi.nlm.nih.gov/pubmed/36832747
http://dx.doi.org/10.3390/e25020381

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