Machine Vision Based Roadway Health Monitoring and Assessment

There is a critical need to advance the state-of-the-art and innovate to provide enabling technologies that can continuously monitor and enable health management of our transportation infrastructure systems. This research project aims to design an automated, consistent, and cost-effective condition-monitoring device for the highway system based on state-of-the-art machine vision techniques. This objective will be achieved by developing and installing an affordable, small form factor device, the Automatic Roadway Monitoring and Management System (AROMAS), on any small- to medium-sized department of transportation (DOT) vehicle. The proposed design idea centers around making small modifications to a vehicle to enable video decoding and feature extraction from pavement images to monitor the status of pavement health (i.e., detecting pavement cracks). The entire prototype system suite (ready to install on vehicle) is expected to cost only $5,000.

Language

  • English

Project

  • Status: Active
  • Funding: $47994
  • Contract Numbers:

    DTRT13-G-UTC37

  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590

    Midwest Transportation Center

    Iowa State University
    2711 S Loop Drive, Suite 4700
    Ames, IA  United States  50010-8664
  • Performing Organizations:

    Midwest Transportation Center

    Iowa State University
    2711 S Loop Drive, Suite 4700
    Ames, IA  United States  50010-8664
  • Principal Investigators:

    Gopalakrishnan, Kasthurirangan

    Smadi, Omar

    Ceylan, Halil

    Celik, Koray

    Somani, Arun

  • Start Date: 20150515
  • Expected Completion Date: 20151116
  • Actual Completion Date: 0

Subject/Index Terms

Filing Info

  • Accession Number: 01578151
  • Record Type: Research project
  • Source Agency: Midwest Transportation Center
  • Contract Numbers: DTRT13-G-UTC37
  • Files: UTC, RiP
  • Created Date: Oct 13 2015 4:50PM