UAV remote laser scanner improvement by continuous scanning using DC motors
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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UAV remote laser scanner improvement by continuous scanning using DC motors. / Lindner, Lars; Sergiyenko, Oleg; Rivas-López, Moisés et al.
Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society. IEEE - Institute of Electrical and Electronics Engineers Inc., 2016. S. 371-376.Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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}
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TY - CHAP
T1 - UAV remote laser scanner improvement by continuous scanning using DC motors
AU - Lindner, Lars
AU - Sergiyenko, Oleg
AU - Rivas-López, Moisés
AU - Valdez-Salas, Benjamin
AU - Rodríguez-Quiñonez, 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
N1 - Conference code: 42
PY - 2016/12/21
Y1 - 2016/12/21
N2 - Previous research have shown the advantages of a novel Technical Vision System (TVS), developed at the Autonomous University of Baja California (UABC), which uses triangulation to determine spatial coordinates on any object under observation. Present paper proposes a new application for the TVS use on drones with remote laser scanner in agriculture to determine a vegetation index of scanned crops. Thereby the needed algorithm to position the laser ray in the TVS field-of-view are proposed, implemented using microcontroller and tested using various experimental factors. Experimentation results shows the advantages and disadvantages of every algorithm comparing the positioning errors after control.
AB - Previous research have shown the advantages of a novel Technical Vision System (TVS), developed at the Autonomous University of Baja California (UABC), which uses triangulation to determine spatial coordinates on any object under observation. Present paper proposes a new application for the TVS use on drones with remote laser scanner in agriculture to determine a vegetation index of scanned crops. Thereby the needed algorithm to position the laser ray in the TVS field-of-view are proposed, implemented using microcontroller and tested using various experimental factors. Experimentation results shows the advantages and disadvantages of every algorithm comparing the positioning errors after control.
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=85010060691&partnerID=8YFLogxK
U2 - 10.1109/IECON.2016.7793316
DO - 10.1109/IECON.2016.7793316
M3 - Article in conference proceedings
AN - SCOPUS:85010060691
SP - 371
EP - 376
BT - Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society
PB - IEEE - Institute of Electrical and Electronics Engineers Inc.
T2 - IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society
Y2 - 24 October 2016 through 27 October 2016
ER -