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.
- Record URL:
Language
- English
Project
- Status: Completed
- Funding: $100000
-
Contract Numbers:
69A3551747111
-
Sponsor Organizations:
Carnegie Mellon University
Mobility21 National USDOT UTC for Mobility of Goods and People
Pittsburgh, PA United States 15213Office of the Assistant Secretary for Research and Technology
University Transportation Center Program
, -
Managing Organizations:
Carnegie Mellon University
Mobility21 National USDOT UTC for Mobility of Goods and People
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
- TRT Terms: Bridges; Drones; Global Positioning System; Machine vision; Navigation; Obstructions (Navigation); Rivers; Software; Wireless communication systems
- Subject Areas: Aviation; Bridges and other structures; Data and Information Technology; Operations and Traffic Management; Vehicles and Equipment;
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