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Automated Sensing System for Monitoring of Road Surface Quality by Mobile Devices
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-23641-9_8openalex-snapshot
Distributed Road Surface Condition Monitoring Using Mobile Phones
inferredcites →https://doi.org/10.1016/j.sbspro.2012.09.828openalex-snapshot
A Mobile Application for Road Surface Quality Control: UNIquALroad
inferredcites →https://doi.org/10.1016/j.sbspro.2012.09.964openalex-snapshot
Pavement Surface Performances Evolution: an Experimental Application
inferredcites →https://doi.org/10.1080/01446190601042426openalex-snapshot
Quality and timeliness in highway construction contracts: a new acceptance model based on both mechanical and surface performance of flexible pavements
inferredcites →https://doi.org/10.1109/comsnets.2012.6151382openalex-snapshot
Wolverine: Traffic and road condition estimation using smartphone sensors
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Vision- and Entropy-Based Detection of Distressed Areas for Integrated Pavement Condition Assessment
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Recent Advancements in Deep Learning Techniques for Road Condition Monitoring: A Comprehensive Review
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inferred← citeshttps://doi.org/10.36229/978-65-86127-51-5.cap.11openalex-snapshot
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Vehicle Monitoring and Surveillance Through Vehicular Sensor Network
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RoadSpeedSense: Context-Aware Speed Profiling from Smart-phone Sensors
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A Study of Low-Friction Road Estimation using an Artificial Neural-Network
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Evaluation of a Bicycle-Mounted Ultrasonic Distance Sensor for Monitoring Obstacles and Holes on Road
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Geovista – Gestão descentralizada das condições do pavimento em ambiente urbano.
inferred← citeshttps://doi.org/10.5194/isprs-archives-xlii-2-w13-1141-2019openalex-snapshot
MOBILE LASER SCAN DATA FOR ROAD SURFACE DAMAGE DETECTION
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Détection et agrégation d'anomalies dans les données issues des capteurs placés dans des smartphones
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