Machine vision system for UAV navigation

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Authors

  • Lars Lindner
  • Oleg Yu Sergiyenko
  • Moises Rivas-Lopez
  • Benjamin Valdez-Salas
  • Julio C. Rodríguez-Quinonez
  • Daniel Hernández-Balbuena
  • Wendy Flores-Fuentes
  • Vera Tyrsa
  • Misael Medina Barrera
  • Fabian N. Muerrieta-Rico
  • Paolo Mercorelli
  • Alexander Gurko
  • Vladimir M. Kartashov
Unmanned Aerial Vehicle (UAV) navigation requires Machine Vision Systems to determine physical values of near distanced objects. These machine vision systems must respond in sufficiently amount of time using less scanning data from the observed objects. A novel Technical Vision System (TVS), which uses DC motors and laser triangulation to determine spatial coordinates of these objects, is offered and used for UAV navigation. Present paper thereby shows the implementation of open-loop control algorithm, to position the TVS laser ray in the UAV Field of View (FOV). Issues of this implementation, experimental realization and results are presented, as the theoretical concept of a continuous FOV derived.
OriginalspracheEnglisch
Titel2016 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification Conference, ESARS-ITEC 2016
Anzahl der Seiten6
VerlagIEEE - Institute of Electrical and Electronics Engineers Inc.
Erscheinungsdatum02.02.2017
Aufsatznummer7841356
ISBN (Print)978-1-5090-0813-1
ISBN (elektronisch)978-1-5090-0814-8 , 978-1-5090-0815-5
DOIs
PublikationsstatusErschienen - 02.02.2017
Veranstaltung2016 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC) - Toulouse, Frankreich
Dauer: 02.11.201604.11.2016

DOI