A Comparative Study on Satellite Image Analysis for Road Traffic Detection using YOLOv3-SPP, Keras RetinaNet and Full Convolutional Network

Guillermo, Marielet; Francisco, Kate; Concepcion, Ronnie; Fernando, Arvin H.; Vicerra, Ryan Rhay P.; Dadios, Elmer P.

doi:10.1109/icbir57571.2023.10147590

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Cited by 4 publications

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Interplay of Remote Sensing and Artificial Intelligence in Open Agricultural Land Monitoring

Almalbis,

Gochian,

Murillo

et al. 2023

2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environ

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Interplay of Remote Sensing and Artificial Intelligence in Open Agricultural Land Monitoring

Almalbis,

Gochian,

Murillo

et al. 2023

2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environ

View full text Add to dashboard Cite

Integration of AWS and Roboflow Mask R-CNN Model for a Fully Cloud-Based Image Segmentation Platform

Paule,

Roca,

Subia

et al. 2023

2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environ

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YOLOv8-BCC: Lightweight Object Detection Model Boosts Urban Traffic Safety

Jun,

Lai,

et al. 2024

Preprint

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With the rapid development of urbanization, the role of urban transportation systems has become increasingly prominent. However, traditional methods of traffic management are struggling to cope with the growing demands of traffic and the complexity of urban environments. In response to this situation, we propose the YOLOv8-BCC algorithm to address existing shortcomings. Leveraging advanced technologies such as CFNet, CBAM attention modules, and BIFPN structure, our algorithm aims to enhance the accuracy, real-time performance, and adaptability of urban traffic intelligent detection systems. Experimental results demonstrate significant improvements in detection accuracy and real-time performance compared to traditional methods. The introduction of the YOLOv8-BCC algorithm provides a robust solution for enhancing urban traffic safety and intelligent management.

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A Comparative Study on Satellite Image Analysis for Road Traffic Detection using YOLOv3-SPP, Keras RetinaNet and Full Convolutional Network

Cited by 4 publications

References 37 publications

Interplay of Remote Sensing and Artificial Intelligence in Open Agricultural Land Monitoring

Interplay of Remote Sensing and Artificial Intelligence in Open Agricultural Land Monitoring

Integration of AWS and Roboflow Mask R-CNN Model for a Fully Cloud-Based Image Segmentation Platform

YOLOv8-BCC: Lightweight Object Detection Model Boosts Urban Traffic Safety

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