Accurate arrested landing state recognition of carrier-based aircraft based on coordinate attention and weighted bi-directional feature pyramid network [PDF]
ObjectiveThe critical factor in the safe landing of carrier-based aircraft is the successful locking of the tailhook and arresting wires. However, in the existing research, there is relatively little work on using intelligent means to assist the landing ...
Jie YANG +6 more
core +1 more source
Traffic sign detection is a core function of autonomous driving systems, requiring real-time and accurate target recognition in complex road environments.
Chen Xing, Haoran Sun, Jiafu Yang
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Research on YOLOv5 Oracle Recognition Algorithm Based on Multi-Module Fusion
The recognition of oracle bone script is of significant importance for understanding the evolution of Chinese characters, their morphological features, and semantic changes.
Xinhang Zhang +3 more
doaj +1 more source
S₂Head: Small-Scale Human Head Detection Algorithm by Improved YOLOv8n Architecture
Analyzing crowd density and distribution through human head detection in surveillance footage is crucial for intelligent public safety management. Existing head detection algorithms face challenges in accurately detecting small and densely packed head ...
Yuteng Sui +5 more
doaj +1 more source
EBiDNet: A Character Detection Algorithm for LCD Interfaces Based on an Improved DBNet Framework
Characters on liquid crystal display (LCD) interfaces often appear densely arranged, with complex image backgrounds and significant variations in target appearance, posing considerable challenges for visual detection.
Yinchuan Wu, Zhengguo Yan, Kun Wang
core +1 more source
Enhancing Intelligent Road Target Monitoring : A Novel BGS-YOLO Approach Based on the YOLOv8 Algorithm [PDF]
Road target detection is essential for enhancing vehicle safety, increasing operational efficiency, and optimizing user experience. It also forms a crucial part of autonomous driving and intelligent monitoring systems.
Zhao, Nan +3 more
core
Research on helmet wearing detection method based on deep learning
The vigorous development of the construction industry has also brought unprecedented safety risks. The wearing of safety helmets at the construction site can effectively reduce casualties.
Lihong Wei +3 more
doaj +1 more source
Steel strip surface defect detection based on multiscale feature sensing and adaptive feature fusion
A surface defect detection method for hot-rolled steel strips was proposed to address the challenges of detecting small target defects, significant differences in morphology, and unclear defect characteristics.
Jing Tang +3 more
core +1 more source
Wind Turbine Surface Crack Detection Based on YOLOv5l-GCB
As a fundamental element of the wind power generation system, the timely detection and rectification of surface cracks and other defects are imperative to ensure the stable function of the entire system.
Xiaohui Leng +6 more
core +1 more source
YOLOv8s-BISW a Surface Defect Detection Algorithm for Stainless Steel Pipes. [PDF]
Yang Z +5 more
europepmc +1 more source

