[HTML][HTML] A comprehensive review of yolo architectures in computer vision: From yolov1 to yolov8 and yolo-nas

J Terven, DM Córdova-Esparza… - Machine Learning and …, 2023 - mdpi.com
YOLO has become a central real-time object detection system for robotics, driverless cars,
and video monitoring applications. We present a comprehensive analysis of YOLO's …

A critical review and comparative study on image segmentation-based techniques for pavement crack detection

N Kheradmandi, V Mehranfar - Construction and Building Materials, 2022 - Elsevier
The prompt detection of early decay in the pavement could be an auspicious technique in
road maintenance. Admittedly, early crack detection allows preventive measures to be taken …

DenseSPH-YOLOv5: An automated damage detection model based on DenseNet and Swin-Transformer prediction head-enabled YOLOv5 with attention mechanism

AM Roy, J Bhaduri - Advanced Engineering Informatics, 2023 - Elsevier
Objective. Computer vision-based up-to-date accurate damage classification and
localization are of decisive importance for infrastructure monitoring, safety, and the …

Improved YOLOv3 model with feature map cropping for multi-scale road object detection

L Shen, H Tao, Y Ni, Y Wang… - … Science and Technology, 2023 - iopscience.iop.org
Road 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 …

Pavement distress detection using convolutional neural networks with images captured via UAV

J Zhu, J Zhong, T Ma, X Huang, W Zhang… - Automation in …, 2022 - Elsevier
Pavement distress detection is crucial in the decision-making for maintenance planning.
Unmanned aerial vehicles (UAVs) are helpful in collecting pavement images. This paper …

Detection of concealed cracks from ground penetrating radar images based on deep learning algorithm

S Li, X Gu, X Xu, D Xu, T Zhang, Z Liu… - Construction and Building …, 2021 - Elsevier
Detecting concealed cracks in asphalt pavement has been a challenging task due to the
nonvisibility of the location of these cracks. This study proposes an effective method to …

Simulation of hybrid nanofluid flow within a microchannel heat sink considering porous media analyzing CPU stability

J Wang, YP Xu, R Qahiti, M Jafaryar… - Journal of Petroleum …, 2022 - Elsevier
Current article aims to numerically scrutinize and compare the forced convection in three
different configurations of a 3D heat sink. Two models of porous were designed aiming to …

Machine learning techniques for pavement condition evaluation

N Sholevar, A Golroo, SR Esfahani - Automation in Construction, 2022 - Elsevier
Pavement management systems play a significant role in country's economy since road
authorities are concerned about preserving their priceless road assets for a longer time to …

Deep learning-based road damage detection and classification for multiple countries

D Arya, H Maeda, SK Ghosh, D Toshniwal… - Automation in …, 2021 - Elsevier
Many municipalities and road authorities seek to implement automated evaluation of road
damage. However, they often lack technology, know-how, and funds to afford state-of-the-art …

Pavement anomaly detection based on transformer and self-supervised learning

Z Lin, H Wang, S Li - Automation in Construction, 2022 - Elsevier
Pavement anomaly detection can help reduce the pressure of data storage, transmission,
labelling and processing. This paper describes a novel method based on transformer and …