What we do

MAESTRO WATSON, DANIEL

Belongs to the group: Robotics and Automation  

daniel-maestro-watson

Contact

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



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

    • Anomaly Detection and Automatic Labeling for Solar Cell Quality Inspection Based on Generative Adversarial Network

    ARTICULO  |  Sensors. Vol. 21. N. 13. N. articulo. 4361,

    Year: 2021  |  ISBN/ISSN: 1424-8220

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

    Depth Data Denoising in Optical Laser Based Sensors for Metal Sheet Flatness Measurement: A Deep Learning Approach

    ARTICULO  |  Sensors 2021. Vol. 21. N. artículo 7024,

    Year: 2021  |  ISBN/ISSN: 1424-8220

    Author: ALONSO NIETO, MARCOS   MAESTRO WATSON, DANIEL   IZAGUIRRE ALTUNA, ALBERTO   ANDONEGUI ARTEGUI, IMANOL   GRAÑA ROMAY, MANUEL  

    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   ARANA AREXOLALEIBA, NESTOR   BALZATEGUI ORUNA, JULEN   ECIOLAZA ECHEVERRIA, LUKA  

    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: 978-3-319-94119-6 print

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

    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   ARANA AREXOLALEIBA, NESTOR   IZAGUIRRE ALTUNA, ALBERTO  

    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  

     

    BROWSE PROJECTS