An Interactive System for Training and Assisting Bridge Inspectors in the Inspection Video Data Analytics (WD-4)

The overall goal of the project is to help users build the capability of inspection video data analytics for the robotic platform empowered bridge inspection. Specifically, the project will develop the prototype of an interactive system that guides and assists users to (i) learn fundamentals of inspection video data analytics; (ii) contribute their expertise to the development of the deep neural network (DNN) for detecting and segmenting bridge elements from inspection videos; and (iii) analyze inspection videos to assess the condition of bridges. To deliver the proposed system prototype, the project will perform the following tasks: (i) creating web-based learning modules for training learners to master cross-disciplinary knowledge and fundamental skills of analytics; (ii) developing an inspection data analytic tool to assist inspectors in processing and analyzing inspection video data for the bridge condition assessment; (iii) creating a Graphical User Interface (GUI) to enable the interaction between users and the three major functions (i.e., learning, developing, and implementing video data analytics), (iv) developing a system central controller that integrates all developed components at a system’s level; and (v) testing the viability and usability of the system prototype to identify the room of system improvement. Scope of Work in Year 1: (1) Create Learning Modules, (2) Develop the Inspection Video Analytic Tool, (3) Create the Graphical User Interface, (4) Build the Central Controller, (5) Test the Developed System. Scope of Work in Year 2: The project will develop the prototype of an interactive system that guides and assists users to (i) learn fundamentals of inspection video data analytics; (ii) contribute their expertise to the development of the deep neural network (DNN) for detecting and segmenting bridge elements from inspection videos; and (iii) analyze inspection videos to assess the condition of bridges.

• Record URL:
  https://inspire-utc.mst.edu/researchprojects/wd-4/

Language

• English

Project

• Status: Active
• Funding: $82264
• Contract Numbers:

  69A3551747126

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Inspecting and Preserving Infrastructure through Robotic Exploration University Transportation Center

  Missouri University of Science and Technology
  Rolla, MO  United States  65409
• Performing Organizations:

  Missouri University of Science & Technology, Rolla

  Department of Engineering
  202 University Center
  Rolla, MO    65409
• Principal Investigators:

  Chen, Genda

• Start Date: 20210315
• Expected Completion Date: 20240630
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Bridges; Inspection; Neural networks; Prototypes; Robotics; Video
• Subject Areas: Bridges and other structures; Data and Information Technology; Highways; Maintenance and Preservation;

Filing Info

• Accession Number: 01842992
• Record Type: Research project
• Source Agency: Inspecting and Preserving Infrastructure through Robotic Exploration University Transportation Center
• Contract Numbers: 69A3551747126
• Files: UTC, RIP
• Created Date: Apr 22 2022 4:08PM