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.

Afiliação

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 em En | MEDLINE | ID: mdl-36433622

Assuntos

Inteligência Artificial; Condução de Veículo; Veículos Automotores; Automóveis; Percepção Visual

Palavras-chave

YOLOv4; autonomous driving; objection detection; tram

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Condução de Veículo / Inteligência Artificial Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article

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