Localization framework for real-time UAV autonomous landing: An on-ground deployed visual approach

Link:
Autor/in:
Erscheinungsjahr:
2017
Medientyp:
Text
Schlagworte:
  • Unmanned aerial vehicles (UAV)
  • Landing
  • Autonomous landing
  • Algorithms
  • Computer Vision
  • Models
  • Unmanned aerial vehicles (UAV)
  • Landing
  • Autonomous landing
  • Algorithms
  • Computer Vision
  • Models
Beschreibung:
  • One of the greatest challenges for fixed-wing unmanned aircraft vehicles (UAVs) is safe landing. Hereafter, an on-ground deployed visual approach is developed in this paper. This approach is definitely suitable for landing within the global navigation satellite system (GNSS)-denied environments. As for applications, the deployed guidance system makes full use of the ground computing resource and feedbacks the aircraft's real-time localization to its on-board autopilot. Under such circumstances, a separate long baseline stereo architecture is proposed to possess an extendable baseline and wide-angle field of view (FOV) against the traditional fixed baseline schemes. Furthermore, accuracy evaluation of the new type of architecture is conducted by theoretical modeling and computational analysis. Dataset-driven experimental results demonstrate the feasibility and effectiveness of the developed approach.
Lizenz:
  • info:eu-repo/semantics/restrictedAccess
Quellsystem:
Forschungsinformationssystem der UHH

Interne Metadaten
Quelldatensatz
oai:www.edit.fis.uni-hamburg.de:publications/15632944-ad5a-42da-bd64-e947ae562fd9