Bridge Avoidance in River-based Drone Autonomy

This research aims to create open-source autonomous drone software to transform rivers into 21st century drone highways. The research team will explore vision-based navigation on ultra-light drones, with offloading of compute-intensive processing over wireless links to ground-based infrastructure. A major challenge is the presence of numerous bridges, whose large metallic structures distort wireless signals and lead to unreliable GPS-based navigation. Overcoming this will be the focus of the team's research.

Language

  • English

Project

  • Status: Completed
  • Funding: $100000
  • Contract Numbers:

    69A3551747111

  • Sponsor Organizations:

    National University Transportation Center for Improving Mobility (Mobility21)

    Carnegie Mellon University
    Pittsburgh, PA  United States  15213

    Office of the Assistant Secretary for Research and Technology

    University Transportation Center Program
    ,    
  • Managing Organizations:

    National University Transportation Center for Improving Mobility (Mobility21)

    Carnegie Mellon University
    Pittsburgh, PA  United States  15213
  • Project Managers:

    Kline, Robin

  • Performing Organizations:

    Carnegie Mellon University

    ,    
  • Principal Investigators:

    Satyanarayanan, Mahadev

  • Start Date: 20221201
  • Expected Completion Date: 20230630
  • Actual Completion Date: 20230725
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01868146
  • Record Type: Research project
  • Source Agency: National University Transportation Center for Improving Mobility (Mobility21)
  • Contract Numbers: 69A3551747111
  • Files: UTC, RIP
  • Created Date: Dec 21 2022 11:57AM