Improved Algorithm for Vehicle Bottom Safety Detection Based on YOLOv8n: PSP-YOLO
The safety inspection system for the underside of vehicles demands both high detection speed and accuracy, necessitating a model with small parameters and high network efficiency. To address these issues and improve the real-time performance of under-vehicle safety inspection, the YOLOv8n object-det...
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| Main Authors: | Di Zhao, Yulin Cheng, Sizhe Mao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/14/23/11257 |
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