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Pothole Detection Using YOLOv3 Model
2023 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS), 2023When it comes to moving people and goods around a country, road transports are like the heart and arteries. It is essential that roads need be kept in good shape at all times.
R. Sathya, B. Saleena, B. Prakash
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Improved YOLOv3 model with feature map cropping for multi-scale road object detection
Measurement science and technology, 2023Road object detection is an essential and imperative step for driving intelligent vehicles. Generally, road objects, such as vehicles and pedestrians, present the characteristic of multi-scale and uncertain distribution which puts a high demand on the ...
Lin-hong Shen +4 more
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Cleanliness Automation: YOLOv3
2021 6th International Conference for Convergence in Technology (I2CT), 2021Today as we all know that India is country that is very quickly developing in the field of Science and Technology. There various initiatives that are running on in the country like Digital India, Smart India to develop the smart cities in the country etc.
Gupta Hiteshkumar +4 more
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YOLOv3-MT: A YOLOv3 using multi-target tracking for vehicle visual detection
Applied Intelligence, 2021During automatic driving, the complex background and mutual occlusion between multiple targets hinder the correct judgment of the detector and miss detection. When a close-range target is captured again, the vehicle may not be able to respond in time and cause a fatal accident.
Kun Wang, Maozhen Liu
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Bidirection-Fusion-YOLOv3: An Improved Method for Insulator Defect Detection Using UAV Image
IEEE Transactions on Instrumentation and Measurement, 2022With advances in the continuous improvement and development of the power system, insulators have gradually become one of the most important components. At present, unmanned aerial vehicles (UAVs) have been widely used to inspect insulators, insulators in
Zhanshe Yang +2 more
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IEEE transactions on intelligent transportation systems (Print), 2022
Accurately identifying and localizing concealed cracks in asphalt pavements through nondestructive ground-penetrating radar (GPR) testing has attracted much attention. However, various realistic factors restrict its detection accuracy.
Zhen Liu +5 more
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Accurately identifying and localizing concealed cracks in asphalt pavements through nondestructive ground-penetrating radar (GPR) testing has attracted much attention. However, various realistic factors restrict its detection accuracy.
Zhen Liu +5 more
semanticscholar +1 more source
Social Distancing Using YOLOv3 Model
Journal of Cyber Security, Privacy Issues and Challenges, 2022Social isolation has been found to be a successful strategy for preventing the coronavirus from spreading around the world. In order to stop the virus from spreading as possible, the system is designed to analyses social distance by measuring the space between individuals.
Alok Barddhan +2 more
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Fast and Scalable Multicore YOLOv3-Tiny Accelerator Using Input Stationary Systolic Architecture
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2023This article proposes a scalable accelerator for deep learning (DL) implementation on edge computing, which is often limited by power, storage, and computation speed. The accelerator is based on systolic array cores with 126 processing elements (PEs) and
T. Adiono +5 more
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