Workflow for Off-Site Bridge Inspection Using Automatic Damage Detection-Case Study of the Pahtajokk Bridge

Workflow for Off-Site Bridge Inspection Using Automatic Damage Detection-Case Study of the Pahtajokk Bridge

For the inspection of structures, particularly bridges, it is becoming common to replace humans with autonomous systems that use unmanned aerial vehicles (UAV). In this paper, a framework for autonomous bridge inspection using a UAV is proposed with a four-step workflow: (a) data acquisition with an...

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Bibliographic Details
Main Authors: Ali Mirzazade, Cosmin Popescu, Thomas Blanksvärd, Björn Täljsten
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Remote Sensing
Subjects:
bridge inspection
computer vision
intelligent hierarchical DSfM
bridge 3D modeling
damage detection
damage segmentation
Online Access:https://www.mdpi.com/2072-4292/13/14/2665

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