Traffic Accident Data Generation Based on Improved Generative Adversarial Networks

For urban traffic, traffic accidents are the most direct and serious risk to people’s lives, and rapid recognition and warning of traffic accidents is an important remedy to reduce their harmful effects. However, research scholars are often confronted with the problem of scarce and difficult-to-coll...

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Detalles Bibliográficos
Autores principales: Chen, Zhijun, Zhang, Jingming, Zhang, Yishi, Huang, Zihao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434573/
https://www.ncbi.nlm.nih.gov/pubmed/34502657
http://dx.doi.org/10.3390/s21175767

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434573/
https://www.ncbi.nlm.nih.gov/pubmed/34502657
http://dx.doi.org/10.3390/s21175767

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