An Approach to the Automatic Construction of a Road Accident Scheme Using UAV and Deep Learning Methods.

Saveliev, Anton; Lebedeva, Valeriia; Lebedev, Igor; Uzdiaev, Mikhail

Saveliev, Anton; Lebedeva, Valeriia; Lebedev, Igor; Uzdiaev, Mikhail.

Afiliação

Saveliev A; St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS), St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, 39, 14th Line, 199178 St. Petersburg, Russia.
Lebedeva V; St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS), St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, 39, 14th Line, 199178 St. Petersburg, Russia.
Lebedev I; St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS), St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, 39, 14th Line, 199178 St. Petersburg, Russia.
Uzdiaev M; St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS), St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, 39, 14th Line, 199178 St. Petersburg, Russia.

Sensors (Basel) ; 22(13)2022 Jun 23.

Article em En | MEDLINE | ID: mdl-35808226

Palavras-chave

UAV; deep learning model; measure the distances; reconstruction of a road accident; road accident; segmentation

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Federação Russa

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