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[HTML][HTML] 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 …
road users. The key to road surface condition monitoring is to detect road surface anomalies …
Pavement roughness index estimation and anomaly detection using smartphones
The prevalence of smartphones among vehicle drivers presents exciting opportunities in
assessing pavement roughness in a more efficient and cost-effective manner, compared …
assessing pavement roughness in a more efficient and cost-effective manner, compared …
Edge AI‐Based Automated Detection and Classification of Road Anomalies in VANET Using Deep Learning
Road surface defects are crucial problems for safe and smooth traffic flow. Due to climate
changes, low quality of construction material, large flow of traffic, and heavy vehicles, road …
changes, low quality of construction material, large flow of traffic, and heavy vehicles, road …
[HTML][HTML] An automated machine-learning approach for road pothole detection using smartphone sensor data
Road surface monitoring and maintenance are essential for driving comfort, transport safety
and preserving infrastructure integrity. Traditional road condition monitoring is regularly …
and preserving infrastructure integrity. Traditional road condition monitoring is regularly …
A machine learning approach to road surface anomaly assessment using smartphone sensors
Road surface quality is essential for improving driving experience and reducing traffic
accidents. Traditional road condition monitoring systems are limited in their temporal …
accidents. Traditional road condition monitoring systems are limited in their temporal …
Response-based methods to measure road surface irregularity: A state-of-the-art review
Purpose With the development of smart technologies, Internet of Things and inexpensive
onboard sensors, many response-based methods to evaluate road surface conditions have …
onboard sensors, many response-based methods to evaluate road surface conditions have …
[HTML][HTML] Detection of road potholes by applying convolutional neural network method based on road vibration data
F Ozoglu, T Gökgöz - Sensors, 2023 - mdpi.com
In the context of road transportation, detecting road surface irregularities, particularly
potholes, is of paramount importance due to their implications for driving comfort …
potholes, is of paramount importance due to their implications for driving comfort …
A two-phase machine learning approach for predictive maintenance of low voltage industrial motors
Predictive maintenance and sound operating industrial equipment are essential for nearly
any production plant. The absence of a systematic maintenance program and data-driven …
any production plant. The absence of a systematic maintenance program and data-driven …
Road anomaly detection through deep learning approaches
D Luo, J Lu, G Guo - IEEE Access, 2020 - ieeexplore.ieee.org
This paper addresses road anomaly detection by formulating it as a classification problem
and applying deep learning approaches to solve it. Besides conventional road anomalies …
and applying deep learning approaches to solve it. Besides conventional road anomalies …
[HTML][HTML] Road anomalies detection system evaluation
Anomalies on road pavement cause discomfort to drivers and passengers, and may cause
mechanical failure or even accidents. Governments spend millions of Euros every year on …
mechanical failure or even accidents. Governments spend millions of Euros every year on …