Real-Time Obstacle Detection with YOLOv8 in a WSN Using UAV Aerial Photography.

Rahman, Shakila; Rony, Jahid Hasan; Uddin, Jia; Samad, Md Abdus

Rahman, Shakila; Rony, Jahid Hasan; Uddin, Jia; Samad, Md Abdus.

Afiliação

Rahman S; Department of Computer Science, American International University-Bangladesh, Dhaka 1229, Bangladesh.
Rony JH; Department of Computer Science and Engineering, Dhaka University of Engineering & Technology, Gazipur 1700, Bangladesh.
Uddin J; Artificial Intelligence and Big Data Department, Woosong University, Daejeon 34606, Republic of Korea.
Samad MA; Department of Information and Communication Engineering, Yeungnam University, Gyeongsan-si 38541, Republic of Korea.

J Imaging ; 9(10)2023 Oct 10.

Article em En | MEDLINE | ID: mdl-37888323

Palavras-chave

UAV aerial photography; YOLOv8; obstacle detection; unmanned aerial vehicles (UAVs); wireless sensor networks (WSNs)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Imaging Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Bangladesh

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