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A real-time monitoring method for tunnel cracks based on structured light cameras and online learning semantic segmentation
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DOI：10.1016/j.rineng.2026.112392.png)
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Abstract
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• The paper proposes an online learning framework that transforms static detection into adaptive monitoring with minimal annotation. • The paper proposes a patch-based edge computing strategy that balances 4 K resolution with device constraints. • The paper presents a method for 3D measurement of cracks in tunnels using active stereovision. • The paper proposes a flexible, real-time tunnel crack monitoring solution and demonstrates its robustness through comprehensive experiments.
Keywords:
Tunnel crack monitoring
Structured light camera
Online learning
Semantic segmentation
Edge computing
3D measurement
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