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Rendi Rendi, Rendi
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Journal : Bulletin of Electrical Engineering and Informatics

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Enhancing low-light pedestrian detection: convolutional neural network and YOLOv8 integration with automated dataset Rendi, Rendi; Fitrianah, Devi
Bulletin of Electrical Engineering and Informatics Vol 14, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i3.8903

Abstract

This research aims to enhance the you only look once (YOLO) model for pedestrian detection in environments with varying lighting conditions, particularly in low-light scenarios. The primary contribution of this work is the integration of a convolutional neural network (CNN)-based low-light enhancement model, which transforms dark images into brighter, more discernible ones. This enhanced dataset is subsequently used to train the YOLO model, allowing it to learn from both the original and transformed data distributions. Unlike traditional YOLO training approaches, this method generates more accurate data representations in challenging lighting environments, leading to improved detection outcomes. The novelty of this approach lies in its dual-stage training process, which integrates a CNNbased low-light enhancement model with YOLO’s detection capabilities. This combination not only enhances pedestrian detection but also has the potential for application in other domains, such as vehicle detection and surveillance, particularly in challenging lighting conditions. The automatic dataset collection pipeline provides an efficient way to gather diverse training data across various scenarios. The YOLOv8 model trained on the low-light enhanced dataset significantly outperformed the baseline model trained only on the original dataset, with precision increased by 9.8%, recall by 45.7%, mAP50 by 26.8%, and mAP50-95 by 41.0% when validated on dark images.
Co-Authors Adawiyah , Rodiyatul Afifah, Rida Nurul Ahsin Shidqi Aidil Shafwan Akhmad Qashlim, Akhmad Alwan , Noufal Anam, Moh Nurul Arafat, Arafat Ari Wibowo Arief, Saifullah Arifin, Jainal Asiyah, Asiyah Assulamy, Hafif Assyifa , Widya Nur Bantun, Suharsono Boy Laksmana Dedek, Rahmad Devi Fitrianah Dwi Husniyati Fahmi Mauliansyah, Syarif Fauzi, M. Ismul GESTY ERNESTIVITA Ghani, Bima Gunawan Gunawan Hartadi, Budi Hasbiadi Hasbiadi Herwin Herwin, Herwin Hestiana, Sry Hidayana, Reymond Syahputra Himawan, Ferdiansyah Himawan, Salamet Nur Husnaini Amiroh Irawan, Heri Irfansyah, Muhammad Iryanto Iryanto Jayanti Yusmah Sari Karhani, Muna Karmini Karmini Karyati Karyati Khayya, Fadhilatul Kurnia Adi Cahyanto Kusuma, Adhi La Ode Liaumin Azim Liana, Risma Lumbanraja, Maha Martabar Mangatas Luthfan Tri Mukti Mardiana Mardiana Masitah Masnama, Masnama Meri, Meri MMSI Irfan ,S. Kom Muhammad Firman Muhammad Iqbal Muhammad Khairil Mujiburrahman Mujiburrahman Munthe, Irwan Salomo Mustafa Mustamiin, Muhamad Nazha, Amelia Nengsih, Hijrana Nisa Solihat, Ayu Nur Asikin Nurfitriani Nurfitriani, Nurfitriani Nurlaili Nurlaili Pauzan, Muhammad Priawan, Diva Hadi Rahmat Hidayat Rahmawati, Rahmawati Raihani, Sherly Ramedlon, Ramedlon Rasmiati Rasyid Regina, Fransiska Reno Firdaus Ridho Abdillah Rifai, Mesrawati Riski Annisa Rita Eka Izzaty, Rita Eka Robertus Masyhuri Robieth Sohiburoyyan Rohman , Siti Rosita Rosita Sabilla, Della Salmawati Salmawati, Salmawati Selmi, Selmi Setiawan, Muhammad Arief Siti Asiah Sohiburroyan, Robieth St.Nurfatul Jannah Sukardi Sukardi Sulaeman Sulaeman Sulmi, Sulmi Syahrizan, Wan Dedy Wanci, Risman Wati, Vera Yuliana, Rosnita Yupande, Putra Yusran, Nadilah Zulfandi, Zulfandi