Safer Roads in Snow Storms and for Pedestrians and Bicyclists

Hundreds of thousands of crashes occur during snowstorms during the night. There are also tens of thousands of crashes with pedestrians and bicyclists with a large majority of fatalities occurring at night [1]. With previous support from the University Transportation Centers (UTC), the project team has been able to develop a headlight prototype capable of being programmed to perform many different types of tasks to increase safety for everyone on the road. The team has demonstrated preliminary algorithms for improving visibility through snowstorms and spotlighting bicyclists and pedestrians. With current support from the UTC, the project team is designing and developing a stereoscopic programmable headlight, which will enable the use of 3D computer vision methods to improve their algorithms. The goal of the proposed research is to develop more accurate algorithms for seeing through snow and obstacle spotlighting. All algorithms developed will be demonstrated on the prototype and road tested.

    Language

    • English

    Project

    • Status: Active
    • Funding: $127500
    • Sponsor Organizations:

      Technologies for Safe and Efficient Transportation University Transportation Center

      Carnegie Mellon University
      Pittsburgh, PA  United States  15213

      Office of the Assistant Secretary for Research and Technology

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

      Carnegie Mellon University

      Pittsburgh, PA  United States 
    • Project Managers:

      Ehrlichman, Courtney

    • Performing Organizations:

      Carnegie Mellon University

      Pittsburgh, PA  United States 
    • Principal Investigators:

      Narasimhan, Srinivasa

    • Start Date: 20170101
    • Expected Completion Date: 20180730
    • Actual Completion Date: 0
    • USDOT Program: University Transportation Centers Program

    Subject/Index Terms

    Filing Info

    • Accession Number: 01645846
    • Record Type: Research project
    • Source Agency: Technologies for Safe and Efficient Transportation University Transportation Center
    • Files: UTC, RiP
    • Created Date: Sep 6 2017 7:18PM