The improved CSW-YOLO model framework.

<div><p>In order to improve the real-time and feasibility of traffic sign detection for autonomous driving in complex traffic environments, this paper proposes a small target detection algorithm for traffic signs based on the YOLOv8 model. First, the bottleneck of the C2f module in the o...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Qian Shen (89639) (author)
مؤلفون آخرون:	Yi Li (1144) (author), YuXiang Zhang (20910151) (author), Lei Zhang (38117) (author), ShiHao Liu (12111360) (author), Jinhua Wu (1399762) (author)
منشور في:	2025
الموضوعات:	Biochemistry Medicine Biotechnology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified two datasets tsinghua small target detection feature extraction ability existing mainstream algorithms traffic sign detection complex traffic environments original yolov8 network div >< p traffic signs based yolov8 </ p mpdiou loss functions model achieves precision traffic signs yolov8 model thereby improving test results tencent 100k source code paper proposes models used model parameters greatly improved greatly enhances computational load block module autonomous driving
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The improved CSW-YOLO model framework.

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