TCE-YOLOv5: Lightweight Automatic Driving Object Detection Algorithm Based on YOLOv5
In automatic driving systems, accurate and efficient object detection is essential to ensure driving safety and improve the driving experience. However, autonomous vehicles deal with large amounts of real-time data, which places extremely high demands on computing resources. Therefore, a lightweight...
| Published in: | Applied Sciences |
|---|---|
| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
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| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/11/6018 |