Hybrid Machine Learning for Automated Road Safety Inspection of Auckland Harbour Bridge

The Auckland Harbour Bridge (AHB) utilises a movable concrete barrier (MCB) to regulate the uneven bidirectional flow of daily traffic. In addition to the risk of human error during regular visual inspections, staff members inspecting the MCB work in diverse weather and light conditions, exerting th...

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Veröffentlicht in:	Electronics (Basel) 2024-08, Vol.13 (15), p.3030
Hauptverfasser:	Rathee, Munish, Bačić, Boris, Doborjeh, Maryam
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Anomalies Artificial intelligence Automation Bridge inspection Bridges Computer vision Concrete Datasets Deep learning Efficiency Equipment and supplies Geospatial data Harbor facilities Human error Image processing Infrastructure Inspections Learning strategies Literature reviews Machine learning Machine vision Mechanization Privacy Real time Safety and security measures Spatiotemporal data Surveillance Synthetic data Traffic control Traffic flow Traffic safety Video data Visual flight Weather
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