AI-enabled Interactive Threats Detection using a Multi-camera Stereo Vision System

This research will develop a novel multi-camera stereo vision system for in-line pipeline inspection; the design integrates hardware prototyping and software development for fast, accurate, automated pipeline anomaly detection. Physics-based models are developed to evaluate the effects of identified threats and their interactions on pipeline safety.

  • Supplemental Notes:
    • USDOT Research Hub DisplayID 157816


  • English


  • Status: Active
  • Funding: $250000
  • Sponsor Organizations:

    Pipeline and Hazardous Materials Safety Administration

  • Managing Organizations:

    Arizona State University

    Tempe, AZ  United States  85287
  • Project Managers:

    Zhou, Zhongquan

  • Start Date: 20190901
  • Expected Completion Date: 20220901
  • Actual Completion Date: 0
  • USDOT Program: Pipeline Safety
  • Subprogram: CAAP

Subject/Index Terms

Filing Info

  • Accession Number: 01867772
  • Record Type: Research project
  • Source Agency: Department of Transportation
  • Files: RIP, USDOT
  • Created Date: Dec 16 2022 2:15PM