Review of Image-Processing-Based Technology for Structural Health Monitoring of Civil Infrastructures

JW Kim, HW Choi, SK Kim, WS Na - Journal of Imaging, 2024 - mdpi.com
The continuous monitoring of civil infrastructures is crucial for ensuring public safety and
extending the lifespan of structures. In recent years, image-processing-based technologies …

Recent Advancements in Deep Learning Techniques for Road Condition Monitoring: A Comprehensive Review

L Manoni, S Orcioni, M Conti - IEEE Access, 2024 - ieeexplore.ieee.org
Road Condition Monitoring is a critical task for the management and maintenance of the
pavement network infrastructure by the authorities. In recent years, the application of …

A lightweight multiscale-multiobject deep segmentation architecture for UAV-based consumer applications

TK Behera, S Bakshi, MA Khan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Smart UAVs have been developed under the consumer Internet of Drone Things (CIoDTs)
framework to improve the quality of service (QoS) for several commercial and consumer …

Advancing ESG and SDGs Goal 11: enhanced YOLOv7-based UAV detection for sustainable transportation in cities and communities

MA Chung, TH Wang, CW Lin - Urban Science, 2023 - mdpi.com
Environmental, social, and governance issues have gained significant prominence recently,
particularly with a growing emphasis on environmental protection. In the realm of …

Automatic detection and classification of road defects on a global-scale for the comfort and safety of traffic components: Embedded system

K Ömer, MY Çodur - Measurement, 2024 - Elsevier
Road networks are created with different pavement designs. In general, flexible pavement is
preferred as the most used superstructure type in the world. Road networks with this …

Unsupervised semantic segmentation of high-resolution UAV imagery for road scene parsing

Z Ma, Y Li, R Ma, C Liang - arXiv preprint arXiv:2402.02985, 2024 - arxiv.org
Two challenges are presented when parsing road scenes in UAV images. First, the high
resolution of UAV images makes processing difficult. Second, supervised deep learning …

Real-Time Pothole Detection With Edge Intelligence and Digital Twin in Internet of Vehicles

S Saleh, A Jolfaei, M Tariq - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
In Intelligent Transportation Systems (ITS), computer vision and Digital Twin (DT)
technologies are crucial for enhancing safety and efficiency. High-speed vehicles require …

LHA-Net: A Lightweight and High-accuracy Network for Road Surface Defect Detection

G Li, C Zhang, M Li, DL Han… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Road surface defect detection can effectively reduce maintenance costs, which is a critical
component in road structural health monitoring. However, existing methods often face …

A Review of Deep Learning Advancements in Road Analysis for Autonomous Driving

AP Botezatu, A Burlacu, C Orhei - Applied Sciences, 2024 - mdpi.com
The rapid advancement of autonomous vehicle technology has brought into focus the critical
need for enhanced road safety systems, particularly in the areas of road damage detection …

Integrating Sigmoid Calibration Function into Entropy Thresholding Segmentation for Enhanced Recognition of Potholes Imaged Using a UAV Multispectral Sensor

S Nomqupu, A Sali, A Nyamugama, N Ndou - Applied Sciences, 2024 - mdpi.com
This study was aimed at enhancing pothole detection by combining sigmoid calibration
function and entropy thresholding segmentation on UAV multispectral imagery. UAV …