Search results for "Road pavement distresses"

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Towards Low-Cost Pavement Condition Health Monitoring and Analysis Using Deep Learning

2020

Governments are faced with countless challenges to maintain conditions of road networks. This is due to financial and physical resource deficiencies of road authorities. Therefore, low-cost automated systems are sought after to alleviate these issues and deliver adequate road conditions for citizens. There have been several attempts at creating such systems and integrating them within Pavement management systems. This paper utilizes replicable deep learning techniques to carry out hotspot analyses on urban road networks highlighting important pavement distress types and associated severities. Following this, analyses were performed illustrating how the hotspot analysis can be carried out to…

Damage detectionComputer science0211 other engineering and technologies02 engineering and technologylcsh:Technologylcsh:ChemistryTransport engineeringAutomated detectionSeverity assessmentRoad networks021105 building & constructionlow-cost technologies0202 electrical engineering electronic engineering information engineeringSettore ICAR/04 - Strade Ferrovie Ed AeroportiGeneral Materials ScienceRoad pavement distresseslcsh:QH301-705.5InstrumentationPavement management systemFluid Flow and Transfer Processeslcsh:Tbusiness.industryProcess Chemistry and TechnologyDeep learningLow-cost technologieGeneral EngineeringPavement managementDeep learningUrban roadIntegrated approachlcsh:QC1-999Computer Science ApplicationsWorkflowlcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040020201 artificial intelligence & image processingArtificial intelligencelcsh:Engineering (General). Civil engineering (General)businesslcsh:PhysicsPavement condition monitoringApplied Sciences
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