Remote Sensing with Mobile LiDAR and Imaging Sensors for Railroad Bridge Inspections

The main objective of this research project is to investigate the applicability of mobile LiDAR and digital image data for railroad bridge inspections. (LiDAR stands for Light Detection and Ranging, and uses pulsed lasers to measure distances.) Using high-definition cameras, images of bridge defects (e.g., concrete cracks) will be collected and processed to develop prototypes of image processing algorithms for defect detection and classification. Using a state-of-the-art mobile LiDAR sensor, data will be collected and processed to develop prototype 3D models of bridge structures. The resulting 3D models will be used to detect particular bridge defects such as structural deformations due to settlement. The primary objectives for this research project are the following: (1) Develop prototypes of image processing algorithms to detect and classify bridge defects (e.g., concrete cracks). (2) Develop 3D bridge models from mobile LiDAR sensor data to be used for detecting particular bridge defects such as structural deformations due to settlement. (3) The third objective is to attach the image and mobile LiDAR sensors to an appropriate platform for remote sensing of bridge data. The team anticipates this platform will be an unmanned aerial vehicle (UAV). The solution approach to meet the three primary objectives is divided into two stages. Stage 1 involves planning activities and field tests to collect mobile LiDAR and image data to develop image processing algorithms and 3D models. During this stage, both the mobile LiDAR and camera systems will be evaluated on the ground with respect to their bridge inspection capabilities. Stage 2 involves integration of the image and mobile LiDAR sensors into a UAV platform to develop an unmanned aerial system (UAS) for bridge inspections. During this stage, field tests will be conducted to evaluate the image processing algorithms for defect detection and classification developed in Stage 1.

Language

  • English

Project

  • Status: Completed
  • Funding: $99939
  • Contract Numbers:

    Project 26, Safety IDEA

  • Sponsor Organizations:

    Safety Innovations Deserving Exploratory Analysis (IDEA)

    Transportation Research Board
    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Project Managers:

    Gause, Jo

  • Performing Organizations:

    Florida Institute of Technology

    150 W. University Boulevard
    Melbourne, FL  United States  32901
  • Principal Investigators:

    Otero, Daniel

  • Start Date: 20140815
  • Expected Completion Date: 0
  • Actual Completion Date: 20140815
  • Source Data: RiP Project 40599

Subject/Index Terms

Filing Info

  • Accession Number: 01590174
  • Record Type: Research project
  • Source Agency: Transportation Research Board
  • Contract Numbers: Project 26, Safety IDEA
  • Files: TRB, RiP
  • Created Date: Feb 11 2016 1:00AM