Research and transfer groups

MAESTRO WATSON, DANIEL

Belongs to the group: Robotics and Automation  

Nombre y apellidos: DANIEL MAESTRO WATSON
Nacionalidad:
Tlf. de contacto: 943794700
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Formación

Doctorado

  • PROGRAMA DOCTORADO EN INGENIERÍA APLICADA, 3D inspection methods for specular or partially specular surfaces, MONDRAGON UNIBERTSITATEA, 2020

Licenciado, Ingeniero, Grado, Arquitecto

  • INGENIERÍA TÉCNICA DE TELECOMUNICACIÓN, ESPECIALIDAD EN TELEMÁTICA, MONDRAGON UNIBERTSITATEA, 2010
  • INGENIERÍA DE TELECOMUNICACIÓN, MONDRAGON UNIBERTSITATEA, 2013

Situación laboral

  • Entidad: Mondragon Unibertsitatea
  • Centro: Faculty of Engineering
  • Departamento: Electronics and computing
  • Área de conocimiento: Ingeniería de sistemas y automática
  • Modalidad de contrato: Contratado
  • Categoría/Puesto: PDI
  • Grupo de investigación: Robotics and Automation

Ponencias y congresos / conferencias

Deflectometric data Segmentation based on Fully Convolutional Neural Networks

Fourteenth International Conference on Quality Control by Artificial Vision Conference. Proceedings of SPIE. Vol. 11172. Article UNSP 1117209. SPIE,

Año: 2019

Autoría: Daniel Maestro-Watson, Julen Balzategui, Luka Eciolaza, Nestor Arana-Arexolaleiba

LCD Screen Calibration for Deflectometric Systems Considering a Single Layer Refraction Model

IEEE International Workshop of Electronics, Control, Measurement, Signals and their application to Mechatronics (ECMSM). San Sebastián. 24-26 May. IEEE,

Año: 2017

Autoría: Daniel Maestro-Watson, Alberto Izaguirre and Nestor Arana-Arexolaleiba

A simple deflectometric method for measurement of Quasi-Plane specular surfaces

IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM). Liberec. 22-24 June. Pp. 1 - 6,

Año: 2015

Autoría: D. Maestro-Watson, A. Izaguirre, N. Arana-Arexolaleiba, A. Iturrospe

Deep Learning for Deflectometric Inspection of Specular Surfaces

International Joint Conference SOCO’18-CISIS’18-ICEUTE’18. Advances in Intelligent Systems and Computing. San Sebastián. 6-8 junio. Graña M. et al. editores. Vol 771. Pp. 280-289. Springer,

Año: 2019

Autoría: Daniel Maestro-Watson, Julen Balzategui, Luka Eciolaza, Nestor Arana-Arexolaleiba

Idiomas

  • English (C1)

FORMACIÓN

  • ACTIVIDAD DOCENTE

    ACTIVIDAD PROFESIONAL ANTERIOR

  • Deflectometric data segmentation for surface inspection: a fully convolutional neural network approach

    ARTICULO  |  Journal of Electronic Imaging. Vol. 29. N. 4. N. artículo, 041007,

    Year: 2020  |  ISBN/ISSN: 1560-229X

    Author: MAESTRO WATSON, DANIEL   BALZATEGUI ORUNA, JULEN   ECIOLAZA ECHEVERRIA, LUKA   ARANA AREXOLALEIBA, NESTOR  

    Deflectometric data Segmentation based on Fully Convolutional Neural Networks

    COMUNICACION_CONGRESO  |  Fourteenth International Conference on Quality Control by Artificial Vision Conference. Proceedings of SPIE. Vol. 11172. Article UNSP 1117209. SPIE,

    Year: 2019  |  ISBN/ISSN: 9781510630543

    Author: MAESTRO WATSON, DANIEL   BALZATEGUI ORUNA, JULEN   ECIOLAZA ECHEVERRIA, LUKA   ARANA AREXOLALEIBA, NESTOR  

    Deep Learning for Deflectometric Inspection of Specular Surfaces

    COMUNICACION_CONGRESO  |  International Joint Conference SOCO’18-CISIS’18-ICEUTE’18. Advances in Intelligent Systems and Computing. San Sebastián. 6-8 junio. Graña M. et al. editores. Vol 771. Pp. 280-289. Springer,

    Year: 2019  |  ISBN/ISSN: 978-3-319-94120-2 online

    Author: MAESTRO WATSON, DANIEL   BALZATEGUI, JULEN   ECIOLAZA ECHEVERRIA, LUKA   ARANA AREXOLALEIBA, NESTOR  

    LCD Screen Calibration for Deflectometric Systems Considering a Single Layer Refraction Model

    COMUNICACION_CONGRESO  |  IEEE International Workshop of Electronics, Control, Measurement, Signals and their application to Mechatronics (ECMSM). San Sebastián. 24-26 May. IEEE,

    Year: 2017  |  ISBN/ISSN: 9781509055821

    Author: MAESTRO WATSON, DANIEL   IZAGUIRRE ALTUNA, ALBERTO   ARANA AREXOLALEIBA, NESTOR  

    A simple deflectometric method for measurement of Quasi-Plane specular surfaces

    COMUNICACION_CONGRESO  |  IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM). Liberec. 22-24 June. Pp. 1 - 6,

    Year: 2015  |  ISBN/ISSN: 9781479969708

    Author: MAESTRO WATSON, DANIEL   IZAGUIRRE ALTUNA, ALBERTO   ITURROSPE IREGUI, AITZOL   ARANA AREXOLALEIBA, NESTOR  

    Thesis made

    3D inspection methods for specular or partially specular surfaces

    Reading date:  2020-04-22

    Director: Nestor Arana Arexolaleiba

    Author: MAESTRO WATSON, DANIEL