Autonomous surface crack identification of concrete structures based on the YOLOv7 algorithm

G Ye, J Qu, J Tao, W Dai, Y Mao, Q Jin - Journal of Building Engineering, 2023 - Elsevier
The detection and classification of concrete damage is essential for keeping infrastructure in
good condition. Many deep learning-based methods have been applied, but these methods …

Crack Segmentation Extraction and Parameter Calculation of Asphalt Pavement Based on Image Processing

Z Li, C Yin, X Zhang - Sensors, 2023 - mdpi.com
Crack disease is one of the most serious and common diseases in road detection.
Traditional manual methods for measuring crack detection can no longer meet the needs of …

VPP: visual pollution prediction framework based on a deep active learning approach using public road images

M AlElaiwi, MA Al-antari, HF Ahmad, A Azhar, B Almarri… - Mathematics, 2022 - mdpi.com
Visual pollution (VP) is the deterioration or disruption of natural and man-made landscapes
that ruins the aesthetic appeal of an area. It also refers to physical elements that limit the …

An annotated street view image dataset for automated road damage detection

M Ren, X Zhang, X Zhi, Y Wei, Z Feng - Scientific Data, 2024 - nature.com
Road damage is a great threat to the service life and safety of roads, and the early detection
of pavement damage can facilitate maintenance and repair. Street view images serve as a …

Automatic Road Pavement Distress Recognition Using Deep Learning Networks from Unmanned Aerial Imagery

F Samadzadegan, F Dadrass Javan, F Ashtari Mahini… - Drones, 2024 - mdpi.com
Detecting and recognizing distress types on road pavement is crucial for selecting the most
appropriate methods to repair, maintain, prevent further damage, and ensure the smooth …

Visual pollution detection using google street view and YOLO

MY Hossain, IR Nijhum, AA Sadi… - 2021 IEEE 12th …, 2021 - ieeexplore.ieee.org
In recent years, visual pollution has become a major concern in rapidly rising cities. This
research deals with detecting visual pollutants from the street images collected using …

Crack-Detection Method for Asphalt Pavement Based on the Improved YOLOv5

G Tang, C Yin, X Zhang, X Liu, S Li - Journal of Performance of …, 2024 - ascelibrary.org
In view of the low identification accuracy of the crack-detection technology of asphalt
pavement under the current conditions of complex pavement (subject to strong light, water …

YOLOv5s-MEE: A YOLOv5-based Algorithm for Abnormal Behavior Detection in Central Control Room

P Yuan, C Fan, C Zhang - Information Technology and Control, 2024 - itc.ktu.lt
Aiming to quickly and accurately detect abnormal behaviors of workers in central control
rooms, such as playing mobile phone and sleeping, an abnormal behavior detection …

Development of Deep Learning Pavement Extraction and Crack Segmentation Algorithms to Analyze UAV Images of Roadways

B Moon, HD Lee - Journal of Infrastructure Systems, 2024 - ascelibrary.org
Over the decades, significant efforts have been made in evaluating pavement condition by
mounting cameras on a vehicle and automatically analyzing images by incorporating digital …

[HTML][HTML] 基于改进YOLO v5 的混凝土桥梁裂缝轮廓提取研究

侯珂, 王翔, 刘文江, 程文党 - Open Journal of Transportation …, 2024 - hanspub.org
裂缝是混凝土桥梁的常见病害之一, 当前主要依靠人工实施检测, 存在效率低和准确率低等问题,
研究自动化, 智能化的裂缝检测方法一直是行业的热点问题. 文章提出了一种改进YOLO v5 …