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Yingzhou Guan

As seen in: MDPI
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VV-YOLO: A Vehicle View Object Detection Model Based on Improved YOLOv4

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By Yinan Wang, Lisheng Jin, Yingzhou Guan, Hanxu Liu
| MDPI
Abstract : Vehicle view object detection technology is the key to the environment perception modules of autonomous vehicles, which is crucial for driving safety. In view of the characteristics of complex scenes, such as dim light, occlusion, and long distance, an improved YOLOv4-based vehicle view object detection model, VV-YOLO, is proposed in this paper. The VV-YOLO model adopts the implementation mode based on anchor frames.
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