Cargando…
Pedestrian detection algorithm integrating large kernel attention and YOLOV5 lightweight model
In the context of intelligent driving, pedestrian detection faces challenges related to low accuracy in target recognition and positioning. To address this issue, a pedestrian detection algorithm is proposed that integrates a large kernel attention mechanism with the YOLOV5 lightweight model. The al...
Autores principales: | Yin, Yuping, Zhang, Zheyu, Wei, Lin, Geng, Chao, Ran, Haoxiang, Zhu, Haodong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10686420/ https://www.ncbi.nlm.nih.gov/pubmed/38019827 http://dx.doi.org/10.1371/journal.pone.0294865 |
Ejemplares similares
-
An Improved YOLOv7 Lightweight Detection Algorithm for Obscured Pedestrians
por: Li, Chang, et al.
Publicado: (2023) -
YOLOv5-AC: Attention Mechanism-Based Lightweight YOLOv5 for Track Pedestrian Detection
por: Lv, Haohui, et al.
Publicado: (2022) -
A Lightweight Vehicle-Pedestrian Detection Algorithm Based on Attention Mechanism in Traffic Scenarios
por: Zhang, Yong, et al.
Publicado: (2022) -
Lightweight Helmet Detection Algorithm Using an Improved YOLOv4 †
por: Chen, Junhua, et al.
Publicado: (2023) -
A lightweight YOLOv3 algorithm used for safety helmet detection
por: Deng, Lixia, et al.
Publicado: (2022)