YOLOv8-QSD: An Improved Small Object Detection Algorithm for Autonomous Vehicles Based on YOLOv8

As self-driving vehicles become more prevalent, the speed and accuracy of detecting surrounding objects through onboard sensing technology have become increasingly important. The YOLOv8-QSD network is a novel anchor-free driving scene detection network that builds on YOLOv8 and ensures detection acc...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on instrumentation and measurement Jg. 73; S. 1 - 16
Hauptverfasser:	Wang, Hai, Liu, Chenyu, Cai, Yingfeng, Chen, Long, Li, Yicheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	2-D object detection Accuracy Algorithms Autonomous cars Autonomous driving Commercial vehicles Feature extraction highway traffic Image recognition Location awareness Object detection Object recognition Safety YOLO
ISSN:	0018-9456, 1557-9662
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!