A Study on Object Detection Performance of YOLOv4 for Autonomous Driving of Tram.

Woo, Joo; Baek, Ji-Hyeon; Jo, So-Hyeon; Kim, Sun Young; Jeong, Jae-Hoon

Woo, Joo; Baek, Ji-Hyeon; Jo, So-Hyeon; Kim, Sun Young; Jeong, Jae-Hoon.

Afiliación

Woo J; School of Software Engineering, Kunsan National University, Gunsan-si 54150, Republic of Korea.
Baek JH; Department of Electrical and Computer Engineering, University of Sungkyunkwan, Seoul 16419, Republic of Korea.
Jo SH; School of Software Engineering, Kunsan National University, Gunsan-si 54150, Republic of Korea.
Kim SY; School of Mechanical Engineering, Kunsan National University, Gunsan-si 54150, Republic of Korea.
Jeong JH; School of Software Engineering, Kunsan National University, Gunsan-si 54150, Republic of Korea.

Sensors (Basel) ; 22(22)2022 Nov 21.

Article en En | MEDLINE | ID: mdl-36433622

Asunto(s)

Inteligencia Artificial; Conducción de Automóvil; Vehículos a Motor; Automóviles; Percepción Visual

Palabras clave

YOLOv4; autonomous driving; objection detection; tram

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Conducción de Automóvil / Inteligencia Artificial Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article Pais de publicación: Suiza

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