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

Author:

Guillermo Marielet1,Francisco Kate1,Concepcion Ronnie1,Fernando Arvin2,Bandala Argel3,Vicerra Ryan Rhay1,Dadios Elmer1

Affiliation:

1. De La Salle University,Department of Manufacturing Engineering and Management,Manila,Philippines

2. De La Salle University,Department of Mechanical Engineering,Manila,Philippines

3. De La Salle University,Department of Electronics and Computer Engineering,Manila,Philippines

Publisher

IEEE

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. YOLOv8-BCC: Lightweight Object Detection Model Boosts Urban Traffic Safety;2024-04-05

2. Revolutionizing Target Detection in Intelligent Traffic Systems: YOLOv8-SnakeVision;Electronics;2023-12-12

3. Integration of AWS and Roboflow Mask R-CNN Model for a Fully Cloud-Based Image Segmentation Platform;2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM);2023-11-19

4. Interplay of Remote Sensing and Artificial Intelligence in Open Agricultural Land Monitoring;2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM);2023-11-19

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