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The Dynamic Image Analysis of Retaining Wall Crack Detection and Gap Hazard Evaluation Method with Deep Learning

This study uses machine vision combined with drones to detect cracks in retaining walls in mountaineering areas or forest roads. Using the drone’s pre-collected images of retaining walls, the gaps in the wall are obtained as the target for sample data. Deep learning is carried out with neural networ...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Dong-Han Mo, Yi-Ching Wu, Chern-Sheng Lin
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2022-09-01
Schriftenreihe:Applied Sciences
Schlagworte:
machine vision
drones
retaining walls
crack detection
neural network architecture
gap hazard evaluation method
Online-Zugang:https://www.mdpi.com/2076-3417/12/18/9289
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