The improved CSW-YOLO model framework.

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...

وصف كامل

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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