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Applied Mathematics and Nonlinear Sciences
Volumen 9 (2024): Edición 1 (Enero 2024)
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A Review of Object Detection in Traffic Scenes Based on Deep Learning
Ruixin Zhao
Ruixin Zhao
Department of Mechanical and Manufacturing, Faculty of Engineering, Universiti Putra Malaysia
Serdang, Malaysia
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Zhao, Ruixin
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SaiHong Tang
SaiHong Tang
Department of Mechanical and Manufacturing, Faculty of Engineering, Universiti Putra Malaysia
Serdang, Malaysia
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Tang, SaiHong
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Eris Elianddy Bin Supeni
Eris Elianddy Bin Supeni
Department of Mechanical and Manufacturing, Faculty of Engineering, Universiti Putra Malaysia
Serdang, Malaysia
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Supeni, Eris Elianddy Bin
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Sharafiz Bin Abdul Rahim
Sharafiz Bin Abdul Rahim
Department of Mechanical and Manufacturing, Faculty of Engineering, Universiti Putra Malaysia
Serdang, Malaysia
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Rahim, Sharafiz Bin Abdul
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Luxin Fan
Luxin Fan
Department of Mechanical and Manufacturing, Faculty of Engineering, Universiti Putra Malaysia
Serdang, Malaysia
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Fan, Luxin
26 feb 2024
Applied Mathematics and Nonlinear Sciences
Volumen 9 (2024): Edición 1 (Enero 2024)
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Publicado en línea:
26 feb 2024
Recibido:
02 ene 2024
Aceptado:
11 ene 2024
DOI:
https://doi.org/10.2478/amns-2024-0322
Palabras clave
<kwd>Object detection</kwd>
,
<kwd>Deep learning</kwd>
,
<kwd>Traffic scenarios</kwd>
,
<kwd>Autonomous driving systems</kwd>
© 2024 Ruixin Zhao et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
