Road surface monitoring using smartphone sensors: A review

S Sattar, S Li, M Chapman - Sensors, 2018 - mdpi.com
Road surface monitoring is a key factor to providing smooth and safe road infrastructure to
road users. The key to road surface condition monitoring is to detect road surface anomalies …

An automated machine-learning approach for road pothole detection using smartphone sensor data

C Wu, Z Wang, S Hu, J Lepine, X Na, D Ainalis… - Sensors, 2020 - mdpi.com
Road surface monitoring and maintenance are essential for driving comfort, transport safety
and preserving infrastructure integrity. Traditional road condition monitoring is regularly …

Developing a near real-time road surface anomaly detection approach for road surface monitoring

S Sattar, S Li, M Chapman - Measurement, 2021 - Elsevier
Road surface hazards affect the driving safety and comfort of road users. Recently,
smartphones and mobile devices equipped with motion sensors such as accelerometers …

A review of intelligent methods for unpaved roads condition assessment

N Saeed, M Dougherty, RG Nyberg… - 2020 15th IEEE …, 2020 - ieeexplore.ieee.org
Conventional road condition evaluation is an expensive and time-consuming task. Therefore
data collection from indirect economical methods is desired by road monitoring agencies …

[HTML][HTML] Revisión de métodos para la clasificación de fallas superficiales en pavimentos flexibles

NX Ríos Cotazo, B Bacca Cortés… - Ciencia e Ingeniería …, 2020 - scielo.org.co
El estado de la infraestructura vial impacta el entorno social, económico y político de una
nación. La evaluación de la condición superficial del pavimento es esencial para planificar …

Vision-and entropy-based detection of distressed areas for integrated pavement condition assessment

GM Hadjidemetriou… - Journal of Computing in …, 2019 - ascelibrary.org
Pavement management systems aim to secure roadways functionality and vehicle
passengers' safety by proposing strategies for pavement assessment and maintenance …

A neural network-based asphalt pavement crack classification model using image processing and random boosted differential flower pollination

VD Tran, ND Hoang - International Journal of Pavement Research and …, 2024 - Springer
This study proposes a novel approach for detecting and recognizing asphalt pavement
cracks. Image processing techniques including discrete Fourier transform (DFT), steerable …

Dual Stream Meta Learning for Road Surface Classification and Riding Event Detection on Shared Bikes

S Jiang, Z Strout, B He, D Peng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Road surface condition monitoring and bike riding event detection are crucial in densely
populated cities for travel efficiency and rider safety. However, most current approaches are …

[PDF][PDF] A Comprehensive Evaluation of State-of-the-Art Deep Learning Models for Road Surface Type Classification.

N Hnoohom, S Mekruksavanich… - Intelligent Automation & …, 2023 - researchgate.net
In recent years, as intelligent transportation systems (ITS) such as autonomous driving and
advanced driver-assistance systems have become more popular, there has been a rise in …

Dynamic pavement distress image stitching based on fine‐grained feature matching

Y Du, Z Weng, C Liu, D Wu - Journal of Advanced …, 2020 - Wiley Online Library
Camera‐based pavement distress detection plays an important role in pavement
maintenance. Duplicate collections for the same distress and multiple overlaps of defects …