SAM‐Y: Attention‐enhanced hazardous vehicle object detection algorithm

Vehicle transportation of hazardous chemicals is one of the important mobile hazards in modern logistics, and its unsafe factors bring serious threats to people's lives, property and environmental safety. Although the current object detection algorithm has certain applications in the detection...

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Veröffentlicht in:	IET computer vision Jg. 18; H. 8; S. 1149 - 1161
Hauptverfasser:	Wang, Shanshan, Liu, Bushi, Zhu, Pengcheng, Meng, Xianchun, Chen, Bolun, Shao, Wei, Chen, Liqing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Stevenage John Wiley & Sons, Inc 01.12.2024 Wiley
Schlagworte:	Accuracy Algorithms Chemicals Classification Complexity Computer vision Deep learning Efficiency Feature selection Hazardous materials Hypotheses Inference Logistics Methods object detection Perception Public safety road vehicles Sensors Support vector machines Target detection Transportation Vehicles
ISSN:	1751-9632, 1751-9640
Online-Zugang:	Volltext
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