Joint calibration of Machine Vision subsystems for robuster surrounding 3D perception
Publikation: Beiträge in Zeitschriften › Konferenzaufsätze in Fachzeitschriften › Forschung › begutachtet
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in: IECON Proceedings (Industrial Electronics Conference), 2024.
Publikation: Beiträge in Zeitschriften › Konferenzaufsätze in Fachzeitschriften › Forschung › begutachtet
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TY - JOUR
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 - Publisher Copyright: © 2024 IEEE.
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
UR - http://www.scopus.com/inward/record.url?scp=105005725816&partnerID=8YFLogxK
U2 - 10.1109/IECON55916.2024.10984228
DO - 10.1109/IECON55916.2024.10984228
M3 - Conference article in journal
AN - SCOPUS:105005725816
JO - IECON Proceedings (Industrial Electronics Conference)
JF - IECON Proceedings (Industrial Electronics Conference)
SN - 2162-4704
T2 - 50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024
Y2 - 3 November 2024 through 6 November 2024
ER -