Design and Implementation of a Vibration-Based Real-Time Internet of Things Framework for Road Condition Monitoring
Author:
Affiliation:
1. Electrical Engineering Department, Assiut University, Assiut, Egypt
2. Information Technology Department, Faculty of Computers, Information, Assiut University, Assiut, Egypt
3. Department of Civil Engineering, Ajman University, Ajman, UAE
Funder
Science, Technology and Innovation Funding Agency
Road Condition Assessment
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/8782711/9932544/10301477.pdf?arnumber=10301477
Reference32 articles.
1. Large-scale pavement roughness measurements with vehicle crowdsourced data using semi-supervised learning
2. Assessing the Effect of Pavement Distresses by Means of LiDAR Technology
3. CMNN-RADC: A Crowdsensing Convolutional-based Mixer Neural Network Road Anomalies Detector and Classifier
4. Pavement Analysis and Measurement of Distress on Concrete and Bituminous Roads Using Mobile LiDAR Technology
5. Multi-Lane Pothole Detection from Crowdsourced Undersampled Vehicle Sensor Data
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