Adopting the YOLOv4 Architecture for Low-Latency Multispectral Pedestrian Detection in Autonomous Driving

Detecting pedestrians in autonomous driving is a safety-critical task, and the decision to avoid a a person has to be made with minimal latency. Multispectral approaches that combine RGB and thermal images are researched extensively, as they make it possible to gain robustness under varying illumina...

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Detalles Bibliográficos
Autores principales: Roszyk, Kamil, Nowicki, Michał R., Skrzypczyński, Piotr
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8837921/
https://www.ncbi.nlm.nih.gov/pubmed/35161827
http://dx.doi.org/10.3390/s22031082

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8837921/
https://www.ncbi.nlm.nih.gov/pubmed/35161827
http://dx.doi.org/10.3390/s22031082

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