An Improved YOLOv5 Algorithm for Vulnerable Road User Detection

The vulnerable road users (VRUs), being small and exhibiting random movements, increase the difficulty of object detection of the autonomous emergency braking system for vulnerable road users AEBS-VRUs, with their behaviors highly random. To overcome existing problems of AEBS-VRU object detection, a...

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Detalles Bibliográficos
Autores principales: Yang, Wei, Tang, Xiaolin, Jiang, Kongming, Fu, Yang, Zhang, Xinling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10536908/
https://www.ncbi.nlm.nih.gov/pubmed/37765820
http://dx.doi.org/10.3390/s23187761

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10536908/
https://www.ncbi.nlm.nih.gov/pubmed/37765820
http://dx.doi.org/10.3390/s23187761

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