HAZMAT Vehicle Reidentification in Road Tunnels Based on the Fusion of Appearance and Spatiotemporal Information

Vehicles transporting hazardous material (HAZMAT) pose a severe threat to highway safety, especially in road tunnels. Vehicle reidentification is essential for identifying and warning abnormal states of HAZMAT vehicles in road tunnels. However, there is still no public dataset for benchmarking this...

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Detalles Bibliográficos
Autores principales: Jia, Lei, Li, Xiaobao, Wang, Wen, Wang, Jianzhu, Yu, Haomin, Wang, Tianyuan, Li, Qingyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9943614/
https://www.ncbi.nlm.nih.gov/pubmed/36824697
http://dx.doi.org/10.1155/2023/3677387

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9943614/
https://www.ncbi.nlm.nih.gov/pubmed/36824697
http://dx.doi.org/10.1155/2023/3677387

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