Automated Track Centerline Following for Drone Flight Automation [Research Results]

Details

• Creators:
  Stuart, Cameron ; Doran, Joshua
• Corporate Creators:
  VisioStack Inc
• Corporate Contributors:
  United States. Department of Transportation. Federal Railroad Administration. Office of Research, Development and Technology
• Subject/TRT Terms:
  • Unmanned aircraft systems
  • Airspace utilization
  • General aviation
  • Drones
  • Remotely piloted aircraft
  • Line of sight
  • Autonomous vehicle guidance
  • Inspection
  • Machine learning
  • Flight control systems
  More +
• Publication/ Report Number:
  RR 22-15
• Resource Type:
  Brief
• Geographical Coverage:
  United States
• Edition:
  Research Results
• Corporate Publisher:
  United States. Department of Transportation. Federal Railroad Administration
• Abstract:
  VisioStack Inc. completed initial research to automate drone inspection flights over railroad track using real-time rail detection and track centerline following to simulate flight control without Global Positioning System (GPS) information. Uncrewed Aerial Systems (UAS, or drones) are platforms that may enable more frequent and safer track inspection compared to traditional methods, augmenting human inspection and increasing safety on the railroads. This report highlights Phase 1 of this Federal Railroad Administration (FRA)-sponsored project.
• Format:
  PDF
• Funding:
  693JJ621C000031
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/64766/dot_64766_DS1.pdf
• File Type:
  [PDF - 778.74 KB]
• Collection(s):
  Autonomous Vehicles ; Federal Railroad Administration
• Main Document Checksum:
  urn:sha-512:00308c27fd333efbd5a9d2525795b832147a18c4808c4a35a0a96ec5dbc1ef7f03ca4d16d2169421468f82c2d87f4d4de48375d5df513b736ad3362ca466cb6b