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Road Pavement Health Monitoring System Using Smartphone Sensing with a Two-Stage Machine Learning Model

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inferredcites →https://doi.org/10.1007/978-3-642-23641-9_8openalex-extracted
Distributed Road Surface Condition Monitoring Using Mobile Phones
inferredcites →https://doi.org/10.1007/978-94-007-4566-7_16openalex-extracted
Using 3D Laser Profiling Sensors for the Automated Measurement of Road Surface Conditions
inferredcites →https://doi.org/10.1007/s00779-019-01234-zopenalex-extracted
A deep learning approach to automatic road surface monitoring and pothole detection
inferredcites →https://doi.org/10.1016/j.autcon.2019.102882openalex-extracted
Pavement performance monitoring and anomaly recognition based on crowdsourcing spatiotemporal data
inferredcites →https://doi.org/10.1016/j.autcon.2022.104409openalex-extracted
Pavement roughness index estimation and anomaly detection using smartphones
inferredcites →https://doi.org/10.1016/j.measurement.2021.109990openalex-extracted
Developing a near real-time road surface anomaly detection approach for road surface monitoring
inferredcites →https://doi.org/10.1016/j.pmcj.2019.101103openalex-extracted
Crowdsourcing from the True crowd: Device, vehicle, road-surface and driving independent road profiling from smartphone sensors
inferredcites →https://doi.org/10.1016/j.procs.2017.11.056openalex-extracted
Anomaly Detection in Roads with a Data Mining Approach
inferredcites →https://doi.org/10.1016/j.sbspro.2014.01.057openalex-extracted
Automated Sensing System for Monitoring of Road Surface Quality by Mobile Devices
inferredcites →https://doi.org/10.1051/itmconf/20203203013openalex-extracted
Efficient pothole detection using smartphone sensors
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000232openalex-extracted
Automated Pothole Distress Assessment Using Asphalt Pavement Video Data
inferredcites →https://doi.org/10.1061/(asce)cp.1943-5487.0000624openalex-extracted
Community Sensor Network for Monitoring Road Roughness Using Smartphones
inferredcites →https://doi.org/10.1109/access.2020.2994470openalex-extracted
Automatic Road Survey by Using Vehicle Mounted Laser for Road Asset Management
inferredcites →https://doi.org/10.1109/carpathiancc.2015.7145123openalex-extracted
Road quality evaluation with mobile devices
inferredcites →https://doi.org/10.1109/dcoss.2011.5982206openalex-extracted
Real time pothole detection using Android smartphones with accelerometers
inferredcites →https://doi.org/10.1109/soli.2018.8476788openalex-extracted
An Automatic Survey System for Paved and Unpaved Road Classification and Road Anomaly Detection using Smartphone Sensor
inferredcites →https://doi.org/10.1109/tits.2014.2378511openalex-extracted
Toward Crowdsourcing-Based Road Pavement Monitoring by Mobile Sensing Technologies
inferredcites →https://doi.org/10.1109/tpami.1986.4767851openalex-extracted
A Computational Approach to Edge Detection
inferredcites →https://doi.org/10.1111/mice.12387openalex-extracted
Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images
inferredcites →https://doi.org/10.1145/1460412.1460444openalex-extracted
Nericell
inferredcites →https://doi.org/10.1155/2015/869627openalex-extracted
A Real-Time Pothole Detection Approach for Intelligent Transportation System
inferredcites →https://doi.org/10.14445/22315381/cati1p222openalex-extracted
Street SAFE - Road Fault Monitoring and Reporting
inferredcites →https://doi.org/10.32920/14638491.v1openalex-extracted
Road Surface Monitoring Using Smartphone Sensors: A Review
inferredcites →https://doi.org/10.3390/s18030914openalex-extracted
Assessing and Mapping of Road Surface Roughness based on GPS and Accelerometer Sensors on Bicycle-Mounted Smartphones
inferredcites →https://doi.org/10.3390/s18113845openalex-extracted
Road Surface Monitoring Using Smartphone Sensors: A Review
inferredcites →https://doi.org/10.3390/s20020451openalex-extracted
Abnormal Road Surface Recognition Based on Smartphone Acceleration Sensor
inferredcites →https://doi.org/10.3390/s21165433openalex-extracted
Smartphone Sensing of Road Surface Condition and Defect Detection
inferredcites →https://doi.org/10.5220/0005117407830787openalex-extracted
Exploring the Use of Smartphone Accelerometer and Gyroscope to Study on the Estimation of Road Surface Roughness Condition
inferredcites →https://doi.org/10.7717/peerj-cs.941openalex-extracted
How to get best predictions for road monitoring using machine learning techniques
inferredcites →https://doi.org/10.48550/arxiv.1801.09454openalex-snapshot
Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone
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