Damage Detection on Structures Using Texture Mapped Laser Point Clouds

Damage due to age or accumulated damage from hazards on existing structures poses a worldwide problem. In order to evaluate the current status of aging, deteriorating and damaged structures, it is vital to accurately assess the present conditions. It is possible to capture the in situ condition of structures by using laser scanners that create dense three-dimensional (3D) point clouds. However, extracting meaningful information from point clouds is automatically challenging, and the current state-of-the-art requires a certain amount of user-interaction. Previously in the authors research, widely accepted point cloud processing steps were used to divide laser scanner data into meaningful object clusters on which several damage detection methods were applied. The authors current focus is on combining useful information extracted from laser scanner data with color information since novel laser scanners are capable of recording color data mapped on 3D point clouds. The color data provides additional information in the 4th dimension, which makes it possible to detect damage types such as cracks, corrosion, and related surface defects that are generally difficult to detect by using only laser scanner data. It also helps to track volumetric changes on structures such as spalling. Even though crack and corrosion detection from images with varying resolution are extensively researched topics, damage detection by using laser scanners with and without images is a new research area that holds many opportunities for enhancing current practice in structural health monitoring. The aim of the authors research is to benefit from the best features of both laser scans and images, and combine them to create an automatic and effective damage detection method which will complement the need for skilled labor during visual inspections of damaged structures and allow documenting related information automatically. This work is of interest to researchers who are focused on structural health monitoring and interested in the use of new laser scanners and damage detection algorithms for structures. As well, practitioners will benefit from exploring new methods for improving their understanding of laser scanning technology and its capabilities for robust damage detection and documentation.

Language

  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: pp 324-334
  • Monograph Title: Structures Congress 2014

Subject/Index Terms

Filing Info

  • Accession Number: 01522449
  • Record Type: Publication
  • ISBN: 9780784413357
  • Files: TRIS, ASCE
  • Created Date: Apr 9 2014 3:01PM