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 …
Pothole and plain road classification using adaptive mutation dipper throated optimization and transfer learning for self driving cars
Self-driving car plays a crucial role in implementing traffic intelligence. Road smoothness in
front of self-driving cars has a significant impact on the car's driving safety and comfort …
front of self-driving cars has a significant impact on the car's driving safety and comfort …
PotSpot: Participatory sensing based monitoring system for pothole detection using deep learning
Proper maintenance of roads is an extremely complex task and also an important issue all
over the world. One of the most critical road monitoring and maintenance activities is the …
over the world. One of the most critical road monitoring and maintenance activities is the …
[HTML][HTML] Real-time machine learning-based approach for pothole detection
OA Egaji, G Evans, MG Griffiths, G Islas - Expert Systems with Applications, 2021 - Elsevier
Potholes are symptoms of a poorly maintained road, pointing to an underlying structural
issue. A vehicle's impact with a pothole not only makes for an uncomfortable journey, but it …
issue. A vehicle's impact with a pothole not only makes for an uncomfortable journey, but it …
Detection of road-surface anomalies using a smartphone camera and accelerometer
T Lee, C Chun, SK Ryu - Sensors, 2021 - mdpi.com
Road surfaces should be maintained in excellent condition to ensure the safety of motorists.
To this end, there exist various road-surface monitoring systems, each of which is known to …
To this end, there exist various road-surface monitoring systems, each of which is known to …
Infrastructure, mobility and safety 4.0: Modernization in road transportation
This study explores the modernization of road-based technologies for the enhancement of
mobility while also implementing safer transportation. Mobility plays a critical role in …
mobility while also implementing safer transportation. Mobility plays a critical role in …
Detection and localization of potholes in thermal images using deep neural networks
A pothole is a depression caused on roads due to seepage of water into soil structure or
weight of continuously moving traffic. This not only damages the suspension of the vehicles …
weight of continuously moving traffic. This not only damages the suspension of the vehicles …
Visualizing street pavement anomalies through fog computing v2i networks and machine learning
R Bustamante-Bello, A García-Barba, LA Arce-Saenz… - Sensors, 2022 - mdpi.com
Analyzing data related to the conditions of city streets and avenues could help to make
better decisions about public spending on mobility. Generally, streets and avenues are fixed …
better decisions about public spending on mobility. Generally, streets and avenues are fixed …
An automatic road distress visual inspection system using an onboard in‐car camera
T Siriborvornratanakul - Advances in Multimedia, 2018 - Wiley Online Library
Speaking of road maintenance, the preventive maintenance strategy is preferable for most
governments. Many governments possess special vehicles that can accurately detect and …
governments. Many governments possess special vehicles that can accurately detect and …
A framework for designing unsupervised pothole detection by integrating feature extraction using deep recurrent neural network
One of the significant causes of road accidents is the presence of potholes. In order to
overcome this difficulty, several techniques have been designed, from manual reporting to …
overcome this difficulty, several techniques have been designed, from manual reporting to …