DCW-YOLO: Road Object Detection Algorithms for Autonomous Driving

Aiming at the problems of multiple parameters and poor detection accuracy of object detection network in automatic driving scenarios, an object detection algorithm based on improved YOLOv8 is proposed. First, a dynamic head framework is used to unify the object detection head and the attention mecha...

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Veröffentlicht in:	IEEE access Jg. 13; S. 125676 - 125688
Hauptverfasser:	Ren, Hongge, Jing, Fangke, Li, Song
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Accuracy Algorithms Attention Autonomous driving Autonomous vehicles Benchmark testing Computational modeling Deep learning Feature extraction Gradient methods Heuristic algorithms Location awareness Object detection Real-time systems Roads Task analysis YOLO YOLOv8
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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