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...

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Vydané v:	IEEE transactions on instrumentation and measurement Ročník 73; s. 1 - 16
Hlavní autori:	Wang, Hai, Liu, Chenyu, Cai, Yingfeng, Chen, Long, Li, Yicheng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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