Standard
Joint calibration of Machine Vision subsystems for robuster surrounding 3D perception. / Alaniz-Plata, Ruben; Lopez-Medina, Fernando; Sergiyenko, Oleg et al.
IECON 2024- 50th Annual Conference of the IEEE Industrial Electronics Society: Proceedings, Sheraton Grand Chicago Riverwalk Chicago, Illinois, USA 3 - 6 November 2024. Piscataway: IEEE Industrial Electronics Society, 2024. (Annual conference of the IEEE Industrial Electronics Society; Vol. 2024).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Harvard
Alaniz-Plata, R, Lopez-Medina, F, Sergiyenko, O, Nuñez-López, JA, Sepulveda-Valdez, C, Meza-García, D, Villa-Manríquez, JF, Andrade-Collazo, H, Flores-Fuentes, W, Rodríguez-Quiñonez, JC, Tyrsa, V, Castro-Toscano, MJ
& Mercorelli, P 2024,
Joint calibration of Machine Vision subsystems for robuster surrounding 3D perception. in
IECON 2024- 50th Annual Conference of the IEEE Industrial Electronics Society: Proceedings, Sheraton Grand Chicago Riverwalk Chicago, Illinois, USA 3 - 6 November 2024. Annual conference of the IEEE Industrial Electronics Society, vol. 2024, IEEE Industrial Electronics Society, Piscataway, 50th Annual Conference of the IEEE Industrial Electronics Society - IECON 2024, Chicago, Illinois, United States,
03.11.24.
https://doi.org/10.1109/IECON55916.2024.10984228APA
Alaniz-Plata, R., Lopez-Medina, F., Sergiyenko, O., Nuñez-López, J. A., Sepulveda-Valdez, C., Meza-García, D., Villa-Manríquez, J. F., Andrade-Collazo, H., Flores-Fuentes, W., Rodríguez-Quiñonez, J. C., Tyrsa, V., Castro-Toscano, M. J.
, & Mercorelli, P. (2024).
Joint calibration of Machine Vision subsystems for robuster surrounding 3D perception. In
IECON 2024- 50th Annual Conference of the IEEE Industrial Electronics Society: Proceedings, Sheraton Grand Chicago Riverwalk Chicago, Illinois, USA 3 - 6 November 2024 (Annual conference of the IEEE Industrial Electronics Society; Vol. 2024). IEEE Industrial Electronics Society.
https://doi.org/10.1109/IECON55916.2024.10984228Vancouver
Alaniz-Plata R, Lopez-Medina F, Sergiyenko O, Nuñez-López JA, Sepulveda-Valdez C, Meza-García D et al.
Joint calibration of Machine Vision subsystems for robuster surrounding 3D perception. In IECON 2024- 50th Annual Conference of the IEEE Industrial Electronics Society: Proceedings, Sheraton Grand Chicago Riverwalk Chicago, Illinois, USA 3 - 6 November 2024. Piscataway: IEEE Industrial Electronics Society. 2024. (Annual conference of the IEEE Industrial Electronics Society). doi: 10.1109/IECON55916.2024.10984228
Bibtex
@inbook{a6799ffae9b9498e8dcbb23ef27df195,
title = "Joint calibration of Machine Vision subsystems for robuster surrounding 3D perception",
abstract = "To achieve successful autonomous navigation, a vision system that provides continuous and precise three-dimensional data of the system's surroundings is always needed. An indispensable step in the acquisition of reliable data is the calibration of the system, preferably with a time-efficient and low-complexity approach. In this paper, a robust and efficient calibration method is proposed for the information fusion of a stereo vision system and a Technical Vision System. The proposed methodology achieves an error of xe = 6.9401 mm, ye = 8.0997 mm and ze = 15.1822 mm in 3.0202 seconds of processing time, as proven through experimental results.",
keywords = "Artificial Vision, Calibration, Sensor Fusion, Artificial vision, Calibration, Sensor Fusion, Engineering",
author = "Ruben Alaniz-Plata and Fernando Lopez-Medina and Oleg Sergiyenko and Nu{\~n}ez-L{\'o}pez, {Jos{\'e} A.} and Cesar Sepulveda-Valdez and David Meza-Garc{\'i}a and Villa-Manr{\'i}quez, {J. Fabi{\'a}n} and Humberto Andrade-Collazo and Wendy Flores-Fuentes and Rodr{\'i}guez-Qui{\~n}onez, {Julio C.} and Vera Tyrsa and Castro-Toscano, {Mois{\'e}s Jes{\'u}s} and Paolo Mercorelli",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 50th Annual Conference of the IEEE Industrial Electronics Society - IECON 2024, IECON 2024 ; Conference date: 03-11-2024 Through 06-11-2024",
year = "2024",
doi = "10.1109/IECON55916.2024.10984228",
language = "English",
isbn = "978-1-6654-6455-0",
series = "Annual conference of the IEEE Industrial Electronics Society",
publisher = "IEEE Industrial Electronics Society",
booktitle = "IECON 2024- 50th Annual Conference of the IEEE Industrial Electronics Society",
address = "United States",
url = "https://www.iecon-2024.org/",
}
RIS
TY - CHAP
T1 - Joint calibration of Machine Vision subsystems for robuster surrounding 3D perception
AU - Alaniz-Plata, Ruben
AU - Lopez-Medina, Fernando
AU - Sergiyenko, Oleg
AU - Nuñez-López, José A.
AU - Sepulveda-Valdez, Cesar
AU - Meza-García, David
AU - Villa-Manríquez, J. Fabián
AU - Andrade-Collazo, Humberto
AU - Flores-Fuentes, Wendy
AU - Rodríguez-Quiñonez, Julio C.
AU - Tyrsa, Vera
AU - Castro-Toscano, Moisés Jesús
AU - Mercorelli, Paolo
N1 - Conference code: 50
PY - 2024
Y1 - 2024
N2 - To achieve successful autonomous navigation, a vision system that provides continuous and precise three-dimensional data of the system's surroundings is always needed. An indispensable step in the acquisition of reliable data is the calibration of the system, preferably with a time-efficient and low-complexity approach. In this paper, a robust and efficient calibration method is proposed for the information fusion of a stereo vision system and a Technical Vision System. The proposed methodology achieves an error of xe = 6.9401 mm, ye = 8.0997 mm and ze = 15.1822 mm in 3.0202 seconds of processing time, as proven through experimental results.
AB - To achieve successful autonomous navigation, a vision system that provides continuous and precise three-dimensional data of the system's surroundings is always needed. An indispensable step in the acquisition of reliable data is the calibration of the system, preferably with a time-efficient and low-complexity approach. In this paper, a robust and efficient calibration method is proposed for the information fusion of a stereo vision system and a Technical Vision System. The proposed methodology achieves an error of xe = 6.9401 mm, ye = 8.0997 mm and ze = 15.1822 mm in 3.0202 seconds of processing time, as proven through experimental results.
KW - Artificial Vision
KW - Calibration
KW - Sensor Fusion
KW - Artificial vision
KW - Calibration
KW - Sensor Fusion
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=105005725816&partnerID=8YFLogxK
UR - https://doi.org/10.1109/IECON55916.2024
U2 - 10.1109/IECON55916.2024.10984228
DO - 10.1109/IECON55916.2024.10984228
M3 - Article in conference proceedings
AN - SCOPUS:105005725816
SN - 978-1-6654-6455-0
T3 - Annual conference of the IEEE Industrial Electronics Society
BT - IECON 2024- 50th Annual Conference of the IEEE Industrial Electronics Society
PB - IEEE Industrial Electronics Society
CY - Piscataway
T2 - 50th Annual Conference of the IEEE Industrial Electronics Society - IECON 2024
Y2 - 3 November 2024 through 6 November 2024
ER -
