CVMar 6, 2023

System for 3D Acquisition and 3D Reconstruction using Structured Light for Sewer Line Inspection

arXiv:2303.02978v11 citationsh-index: 35
Originality Synthesis-oriented
AI Analysis

This addresses the cumbersome and error-prone task of sewer line inspection for maintenance and safety purposes, representing a domain-specific incremental improvement.

The paper tackles the problem of assessing sewer pipe systems by introducing a system that uses single-shot structured light modules to detect and classify spatial defects like intrusions or misalliances, achieving sub-millimeter resolution in 3D measurements and creating holistic 3D models.

The assessment of sewer pipe systems is a highly important, but at the same time cumbersome and error-prone task. We introduce an innovative system based on single-shot structured light modules that facilitates the detection and classification of spatial defects like jutting intrusions, spallings, or misaligned joints. This system creates highly accurate 3D measurements with sub-millimeter resolution of pipe surfaces and fuses them into a holistic 3D model. The benefit of such a holistic 3D model is twofold: on the one hand, it facilitates the accurate manual sewer pipe assessment, on the other, it simplifies the detection of defects in downstream automatic systems as it endows the input with highly accurate depth information. In this work, we provide an extensive overview of the system and give valuable insights into our design choices.

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