The algorithm for foggy weather target detection based on YOLOv5 in complex scenes
Abstract With the rapid development of urbanization and global climate warming, complex environments and adverse weather conditions pose significant challenges to the accuracy of object detection and driving safety in autonomous driving systems. Addressing the challenges of severe occlusion and nois...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Springer
2024-12-01
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Series: | Complex & Intelligent Systems |
Subjects: | |
Online Access: | https://doi.org/10.1007/s40747-024-01679-7 |
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