Research on Door Opening Operation of Mobile Robotic Arm Based on Reinforcement Learning
The traditional robotic arm control method has strong dependence on the application scenario. To improve the reliability of the mobile robotic arm control when the scene is disturbed, this paper proposes a control method based on an improved proximal ...
Yang Wang, Liming Wang, Yonghui Zhao
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DETECTION AND RECOGNITION OF ROAD SIGNS USING YOLOv5 [PDF]
In the field of deep learning, a convolutional neural network is a class of artificial neural networks that became dominant in various computer vision tasks, which is widely used to solve complex problems in various areas, including driver assistance ...
Haitam Ettazi +2 more
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Research on mine vehicle tracking and detection technology based on YOLOv5
Vehicle tracking detection, recognition and counting is an important part of vehicle analysis. Designing such a model with excellent performance is difficult. The traditional target detection algorithm based on artificial features has poor generalization
Kaijie Zhang +7 more
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YOLOv5-OCDS: An Improved Garbage Detection Model Based on YOLOv5
As the global population grows and urbanization accelerates, the garbage that is generated continues to increase. This waste causes serious pollution to the ecological environment, affecting the stability of the global environmental balance. Garbage detection technology can quickly and accurately identify, classify, and locate many kinds of garbage to ...
Qiuhong Sun +3 more
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Research on Detection Method for Tunnel Lining Defects Based on DCAM-YOLOv5 in GPR B-Scan [PDF]
This paper presents a detection method of DCAM-YOLOv5 for ground penetrating radar (GPR) to address the difficulty of identifying complex and multi-type defects in tunnel linings.
D. Chen, S. Xiong, L. Guo
doaj
Automatic Number Plate Recognition System for Indian Number Plates using Machine Learning Techniques [PDF]
India being a country where the population is above 1.3 billion where each person has at least one car of his/her use. Considering this, the number of cars driven on the roads of India must be greater than the population of the people in the country ...
Hajare Gayatri +3 more
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Risk assessment method for external breakage of overhead lines in mining areas
The operating environment of overhead lines in mining areas is harsh. The lines are easily affected by external factors, leading to line breakage. It is necessary to accurately evaluate the risk level of external breakage of overhead lines in mining ...
LIU Zhenguo +3 more
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Real-Time YOLO Based Ship Detection Using Enriched Dataset [PDF]
We propose a real-time Yolov5 based deep convolutional neural network for detecting ships in the video. We begin with two famous publicly available SeaShip datasets each having around 9,000 images.
A. Ataee, S. J. Kazemitabar
doaj
Improved GBS-YOLOv5 algorithm based on YOLOv5 applied to UAV intelligent traffic
Abstract As the road traffic situation becomes complex, the task of traffic management takes on an increasingly heavy load. The air-to-ground traffic administration network of drones has become an important tool to promote the high quality of traffic police work in many places.
Haiying Liu +5 more
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Deep Learning Based Steel Pipe Weld Defect Detection
Steel pipes are widely used in high-risk and high-pressure scenarios such as oil, chemical, natural gas, shale gas, etc. If there is some defect in steel pipes, it will lead to serious adverse consequences.
Dingming Yang +3 more
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