Abstract
A problem of upgrading an optoelectronic scanning system with digital post-processing of the signal based on adequate methods of energy center localization is considered. An improved dynamic triangulation analysis technique is proposed by an example of industrial infrastructure damage detection. A modification of our previously published method aimed at searching for the energy center of an optoelectronic signal is described. Application of the artificial intelligence algorithm of compensation for the error of determining the angular coordinate in calculating the spatial coordinate through dynamic triangulation is demonstrated. Five energy center localization methods are developed and tested to select the best method. After implementation of these methods, digital compensation for the measurement error, and statistical data analysis, a non-parametric behavior of the data is identified. The Wilcoxon signed rank test is applied to improve the result further. For optical scanning systems, it is necessary to detect a light emitter mounted on the infrastructure being investigated to calculate its spatial coordinate by the energy center localization method.
Similar content being viewed by others
References
O. Yu. Sergiyenko, “Optoelectronic System for Mobile Robot Navigation,” Avtometriya 46 (5), 18–35 (2010) [Optoelectron., Instrum. Data Process. 46 (5), 414–428 (2010)].
J. T. Tippett, D. A. Borkowitz, L. C. Clapp, et al., Optical and Electro-optical Information Processing. Cambridge, (Massachusetts Institute of Technology, 1965).
M. H. Korayem, F. S. Heidari, “Simulation and Experiments for a Vision-Based Control of a 6R Robot,” Intern. J. Adv. Manuf. Technol. 41 (3), 367–385 (2009).
J. C. Rodriguez-Quinonez, O. Sergiyenko, D. Hernandez-Balbuena, et al., “Improve 3D Laser Scanner Measurements Accuracy using a FFBP Neural Network with Widrow-Hoff Weight/Bias Learning Function,” Opto-Electron. Rev. 22 (4), 224–235 (2014).
L. C. Basaca-Preciado, O. Yu. Sergiyenko, J. C. Rodriguez-Quinonez, et al., “Optical 3D Laser Measurement System for Navigation of Autonomous Mobile Robot,” Opt. Lasers Eng. 54, 159–169 (2014).
O. Yu. Sergiyenko, V. V. Tyrsa, L. F. Devia, et al., “Dynamic Laser Scanning Method for Mobile Robot Navigation,” in Proc. of the ICROS-SICE Intern. Joint Conf., Fukuoka, Japan, 2009, pp. 4884–4889.
M. Rivas-Lopez, O. Yu. Sergiyenko, V. Tyrsa, et al., “Optoelectronic Method for Structural Health Monitoring,” Struct. Health Monitoring 9 (2), 105–120 (2010). DOI: 10.1177/ 1475921709340975.
W. Flores-Fuentes, M. Rivas-Lopez, O. Sergiyenko, et al., “Energy Center Detection in Light Scanning Sensors for Structural Health Monitoring Accuracy Enhancement,” IEEE Sensors J. 14 (7), 2355–2361 (2014). DOI: 10.1109/JSEN.2014.2310224.
J. C. Rodriguez-Quinonez, O. Sergiyenko, F. F. Gonzalez-Navarro, et al., “Surface Recognition Improvement in 3D Medical Laser Scanner using Levenberg — Marquardt Method,” Signal Processing 93 (2), 378–386 (2012).
Y. Bao, H. Li, X. Sun, et al., “Compressive Sampling Based Data Loss Recovery for Wireless Sensor Networks used in Civil Structural Health Monitoring,” Struct. Health Monitoring 12 (1), 78–95 (2012).
M. Rivas-Lopez, W. Flores-Fuentes, J. Rivera-Castillo, et al. “A Method and Electronic Device to Detect the Optoelectronic Scanning Signal Energy Centre,” in Optoelectronics: Advanced Materials and Devices (InTech, Rijeka, 2013), Ch. 16, pp. 391–419. DOI: 10.5772/51993.
M. Rivas-Lopez, O. Sergiyenko, M. Aguirre, et al., “Spatial Data Acquisition by Laser Scanning for Robot or SHM Task,” in Proc. of the IEEE Intern. Symp. on Industrial Electronics, Cambridge, United Kingdom, 2008, pp. 1458–1462. DOI: 10.1109/ISIE.2008.4676974.
W. Flores-Fuentes, M. Rivas-Lopez, O. Sergiyenko, J. Rivera-Castillo, “Comparison of Signal Peak Detection Algorithms in the Search of the Signal Energy Center for Measuring with Optical Scanning,” in Proc. of the IEEE XXII Intern. Conf. on Communications, Computer, Electronics, Automation, Robotics and Industrial Exposition (Guerrero, Mexico, 2011).
W. Flores-Fuentes, M. Rivas-Lopez, O. Sergiyenko, et al., “Combined Application of Power Spectrum Centroid and Support Vector Machines for Measurement Improvement in Optical Scanning Systems,” Signal Processing 98, 37–51 (2014).
T. H. Park, Introduction to Digital Signal Processing: Computer Musically Speaking (World Scientific, Singapore, 2009).
A. M. Batrakov, I. V. Il’in, and A. V. Pavlenko, “Precision Digital Signal Integrators with Accurate Synchronization,” Avtometriya 51 (1), 62–69 (2015) [Optoelectron., Instrum. Data Process. 51 (1), 51–57 (2015)].
G. K. Palshikar, “Simple Algorithms for Peak Detection in Time-Series,” in Proc. of the 1st Intern. Conf. Advanced Data Analysis, Business Analytics and Intelligence, Ahmedabad, India, 2009, pp. 1–13.
J. Gascon-Moreno, E. G. Ortiz-Garcia, S. Salcedo-Sanz, et al., “Multi-Parametric Gaussian Kernel Function Optimization for "-SVMr using a Genetic Algorithm,” in Adv. in Comput. Intell. Ser. Lecture Notes in Comput. Sci. (Springer-Verlag, Berlin — Heidelberg, 2011), Vol. 6692, pp. 113–120. DOI: 10.1007/978-3-642-21498-1 15.
J. K. Choi, S. H. Park, D. J. Cho, K. Y. Seo, “Correction Error Generation Algorithm for Differential Positioning Performance Analysis of Navigation Equipment,” in Proc. of the Intern. Conf. Control, Automation and Systems, Seoul, South Korea, 2008, pp. 1099–1103.
C.-W. Hsu, C.-C. Chang, C.-J. Lin, A Practical Guide to Support Vector Classification, Tech. Rep. 2003. http://www.csie.ntu.edu.tw/˜cjlin/papers/guide/guide.pdf.
R. P. W. Duin, P. Juszczak, P. Paclik, et al., PRTools4: A MATLAB Toolbox for Pattern Recognition, Ver. 4.1. 2007. http://www.prtools.org/files/PRTools4.1.pdf.
F. Perez-Cruz, O. Bousquet, “Kernel Methods and Their Potential use in Signal Processing,” IEEE Signal Processing Magazine 21 (3), 57–65 (2004).
J. L. Devore, Probability and Statistics for Engineering and the Sciences (Cengage Learning, Boston, 2015).
Author information
Authors and Affiliations
Corresponding author
Additional information
Original Russian Text © W. Flores-Fuentes, O. Sergiyenko, J.C. Rodriguez-Quin˜onez,M. Rivas-López, D. Hernández-Balbuena, L.C. Básaca-Preciado, L. Lindner, F.F. González-Navarro, 2016, published in Avtometriya, 2016, Vol. 52, No. 6, pp. 76–86.
About this article
Cite this article
Flores-Fuentes, W., Sergiyenko, O., Rodriguez-Quiñonez, J.C. et al. Optoelectronic scanning system upgrade by energy center localization methods. Optoelectron.Instrument.Proc. 52, 592–600 (2016). https://doi.org/10.3103/S8756699016060108
Received:
Published:
Issue Date:
DOI: https://doi.org/10.3103/S8756699016060108