Potential risk assessment for safe driving of autonomous vehicles under occluded vision

This study aimed to explore how autonomous vehicles can predict potential risks and efficiently pass through the dangerous interaction areas in the face of occluded scenes or limited visual scope. First, a Dynamic Bayesian Network based model for real-time assessment of potential risks is proposed,...

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Detalles Bibliográficos
Autores principales: Wang, Denggui, Fu, Weiping, Song, Qingyuan, Zhou, Jincao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943059/
https://www.ncbi.nlm.nih.gov/pubmed/35322105
http://dx.doi.org/10.1038/s41598-022-08810-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943059/
https://www.ncbi.nlm.nih.gov/pubmed/35322105
http://dx.doi.org/10.1038/s41598-022-08810-z

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