Enhanced YOLOv5s Model for Improved Multi-Sized Object Detection in Road Scenes
Detecting objects in complex driving environments is crucial for autonomous vehicles to navigate safely. However, this task becomes challenging when addressing scale variations, occlusions and diverse backgrounds. This paper proposes an enhanced YOLOv5s model for handling varying object sizes from s...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11048496/ |
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