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Machine vision system for UAV navigation. / Lindner, Lars; Sergiyenko, Oleg Yu; Rivas-Lopez, Moises et al.
2016 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification Conference, ESARS-ITEC 2016. IEEE - Institute of Electrical and Electronics Engineers Inc., 2017. 7841356 (2016 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification Conference, ESARS-ITEC 2016).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Harvard
Lindner, L, Sergiyenko, OY, Rivas-Lopez, M, Valdez-Salas, B, Rodríguez-Quinonez, JC, Hernández-Balbuena, D, Flores-Fuentes, W, Tyrsa, V, Barrera, MM, Muerrieta-Rico, FN
, Mercorelli, P, Gurko, A & Kartashov , VM 2017,
Machine vision system for UAV navigation. in
2016 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification Conference, ESARS-ITEC 2016., 7841356, 2016 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification Conference, ESARS-ITEC 2016, IEEE - Institute of Electrical and Electronics Engineers Inc., International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference - ESARS-ITEC 2016, Toulouse, France,
02.11.16.
https://doi.org/10.1109/ESARS-ITEC.2016.7841356APA
Lindner, L., Sergiyenko, O. Y., Rivas-Lopez, M., Valdez-Salas, B., Rodríguez-Quinonez, J. C., Hernández-Balbuena, D., Flores-Fuentes, W., Tyrsa, V., Barrera, M. M., Muerrieta-Rico, F. N.
, Mercorelli, P., Gurko, A., & Kartashov , V. M. (2017).
Machine vision system for UAV navigation. In
2016 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification Conference, ESARS-ITEC 2016 Article 7841356 (2016 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification Conference, ESARS-ITEC 2016). IEEE - Institute of Electrical and Electronics Engineers Inc..
https://doi.org/10.1109/ESARS-ITEC.2016.7841356Vancouver
Lindner L, Sergiyenko OY, Rivas-Lopez M, Valdez-Salas B, Rodríguez-Quinonez JC, Hernández-Balbuena D et al.
Machine vision system for UAV navigation. In 2016 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification Conference, ESARS-ITEC 2016. IEEE - Institute of Electrical and Electronics Engineers Inc. 2017. 7841356. (2016 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification Conference, ESARS-ITEC 2016). doi: 10.1109/ESARS-ITEC.2016.7841356
Bibtex
@inbook{8a28003afc794b058327bfdbf5ca314d,
title = "Machine vision system for UAV navigation",
abstract = "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.",
keywords = "Engineering, Experimental realizations, Field of views, Laser triangulation, Machine vision systems, Open loop control, Scanning data, Spatial coordinates, Technical vision systems (TVS)",
author = "Lars Lindner and Sergiyenko, {Oleg Yu} and Moises Rivas-Lopez and Benjamin Valdez-Salas and Rodr{\'i}guez-Quinonez, {Julio C.} and Daniel Hern{\'a}ndez-Balbuena and Wendy Flores-Fuentes and Vera Tyrsa and Barrera, {Misael Medina} and Muerrieta-Rico, {Fabian N.} and Paolo Mercorelli and Alexander Gurko and Kartashov, {Vladimir M.}",
year = "2017",
month = feb,
day = "2",
doi = "10.1109/ESARS-ITEC.2016.7841356",
language = "English",
isbn = "978-1-5090-0813-1",
series = "2016 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification Conference, ESARS-ITEC 2016",
publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification Conference, ESARS-ITEC 2016",
address = "United States",
note = "International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference - ESARS-ITEC 2016, ESARS-ITEC 2016 ; Conference date: 02-11-2016 Through 04-11-2016",
}
RIS
TY - CHAP
T1 - Machine vision system for UAV navigation
AU - Lindner, Lars
AU - Sergiyenko, Oleg Yu
AU - Rivas-Lopez, Moises
AU - Valdez-Salas, Benjamin
AU - Rodríguez-Quinonez, Julio C.
AU - Hernández-Balbuena, Daniel
AU - Flores-Fuentes, Wendy
AU - Tyrsa, Vera
AU - Barrera, Misael Medina
AU - Muerrieta-Rico, Fabian N.
AU - Mercorelli, Paolo
AU - Gurko, Alexander
AU - Kartashov , Vladimir M.
PY - 2017/2/2
Y1 - 2017/2/2
N2 - 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.
AB - 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.
KW - Engineering
KW - Experimental realizations
KW - Field of views
KW - Laser triangulation
KW - Machine vision systems
KW - Open loop control
KW - Scanning data
KW - Spatial coordinates
KW - Technical vision systems (TVS)
UR - http://www.scopus.com/inward/record.url?scp=85015417850&partnerID=8YFLogxK
U2 - 10.1109/ESARS-ITEC.2016.7841356
DO - 10.1109/ESARS-ITEC.2016.7841356
M3 - Article in conference proceedings
SN - 978-1-5090-0813-1
T3 - 2016 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification Conference, ESARS-ITEC 2016
BT - 2016 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles and International Transportation Electrification Conference, ESARS-ITEC 2016
PB - IEEE - Institute of Electrical and Electronics Engineers Inc.
T2 - International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference - ESARS-ITEC 2016
Y2 - 2 November 2016 through 4 November 2016
ER -
