DGSS-YOLOv8s: A Real-Time Model for Small and Complex Object Detection in Autonomous Vehicles

DGSS-YOLOv8s: A Real-Time Model for Small and Complex Object Detection in Autonomous Vehicles

Object detection in complex road scenes is vital for autonomous driving, facing challenges such as object occlusion, small target sizes, and irregularly shaped targets. To address these issues, this paper introduces DGSS-YOLOv8s, a model designed to enhance detection accuracy and high-FPS performanc...

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Bibliographic Details
Main Authors: Siqiang Cheng, Lingshan Chen, Kun Yang
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Algorithms
Subjects:
YOLOv8 optimization
multi-scale feature fusion
autonomous driving
small object detection
high FPS detection
Online Access:https://www.mdpi.com/1999-4893/18/6/358
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