Gregorio Ambrosio Cestero

PhD Student

Contact info

Phone: +34 951929278
E-mail: gambrosio [at] uma.es
Research interests: Computer vision, Data Science, Deep Learning, Machine Learning, Probabilistic Graphical Models.

Data Engineer / Scientist | B.Sc, M.Sc Computer Science Engineering | MBA Executive | PhD candidate in Mechatronics Engineering

Short CV

Gregorio “Goyo” Ambrosio works as Data specialist at CEMI (Málaga City Computing Center).
Gregorio was born in 1968 and received B.Sc. and M.Sc. degree in Computer Science from the University of Malaga in 1992 and a Master in Business Administration in 2009.
He has over 30 years of professional experience in the ICT field in public administration. He has worked in the field of innovation involved in the most innovative projects of the city of Málaga mainly related to Data Networks and System Development, Smart City, IoT, Data Science and so on.
He is currently a PhD candidate in the MAPIR (MAchine Perception and Intelligent Robotics) research group. He has a solid background in scientific computing and he’s a skilled developer in C++, Matlab and Python. Other programming languages as R and Lisp are part of his skills. He is also an enthusiast of Unix-like systems, Emacs and Literacy Programming.
Gregorio also has experience as an entrepreneur, having led two business projects: one in the field of remote sensing and other in the field of computer forensics.
Currently his areas of interest are computer vision, robotics, and machine learning. Other career areas of interest are data science and computer forensics.

Current project

The Robot@Home2 Dataset or R@H2 for short (paper here) is a collection of raw and processed data from five domestic settings compiled by a mobile robot equipped with 4 RGB-D cameras and a 2D laser scanner. Its main purpose is to serve as a testbed for semantic mapping algorithms through the categorization of objects and/or rooms.

The Dataset in its original version presents a series of challenges for its use. Although the data is in self-descripted files, it is necessary to code ad hoc readers for the extraction and manipulation of this data. On the other hand, the use of intrinsic relationships between the different data entities is left to the implementation of the reading tool.

To improve usability, common data engineering techniques have been applied in this project in an ETL workflow. In the extraction phase, small errors have been cleaned and corrected to later transform the data to a relational model in the next phase, as well as a restructuring of the image and scene files. Finally, the Robot@Home2 Dataset has been converted to a relational database file in SQLite format and a folder structure that contains binary data such as rgbd images and 3D data.

On the other hand, to facilitate the use of the dataset, a toolbox has been developed in order to encapsulate frequent queries as functions and integrate the results with a data analysis library. The toolbox has been coded as a python package that can be easily integrated with other packages, potentially allowing the development of new algorithms without spending a lot of effort on data mining.

Moreover, there is another challenge for people who are not experts in the Python environment. Although the installation of the toolbox is simple, the very nature of the python ecosystem, full of dependencies and complex relationships between the different libraries, sometimes prevents or hinders its use.

Therefore, Robot@Home2 has recently been adapted to the Google environment. The dataset has been shared and is publicly accessible, thus eliminating local download and installation. In addition, a series of notebooks have been published explaining the operation of the toolbox in Google Colab, which provides a development environment that makes the programming experience simple.


All publications for author Gregorio Ambrosio
  • Journals (4)

  • 2008
  • V. Arevalo, J. Gonzalez-Jimenez, G. Ambrosio,

    Shadow Detection in Colour High-Resolution Satellite Images

    International Journal of Remote Sensing, vol. 29, no. 7, pp. 1945–1963, 2008.

    pdf bibtex
  • 2005
  • V. Arevalo, J. Gonzalez-Jimenez, G. Ambrosio,

    OpenCV. La Librerí­a Open Source de Visión Artificial (in spanish)

    (in spanish) Linux Free Magazine, vol. 10, pp. 141–147, 2005.

    pdf bibtex
  • 2004
  • J.D. Falcon, J. Gonzalez-Jimenez, G. Ambrosio,

    Deteccion de Olivos en Imagenes de Satelite de Alta Resolucion

    Revista de Teledeteccion, vol. 21, 2004.

  • V. Arevalo, J. Gonzalez-Jimenez, G. Ambrosio,

    La Librerí­a de Visión Artificial OpenCV. Aplicación a la Docencia e Investigación (in spanish)

    (in spanish) Base Informática, vol. 40, pp. 61–66, 2004.

    pdf bibtex
  • Book Chapters (1)

  • 2007
  • J. Gonzalez-Jimenez, C. Galindo, V. Arevalo, G. Ambrosio,

    Applying Image Analysis and Probabilistic Techniques for Counting Olive Trees in High-resolution Satellite Images

    Lecture Notes on Computer Science (from Advanced Concepts for I, vol. 4678, ch. -, pp. 920-931, 2007.

    pdf bibtex
  • Conferences (11)

  • 2009
  • J. Antelo, G. Ambrosio, J. Gonzalez-Jimenez, C. Galindo,

    Ship Detection and Recognition in High-Resolution Satellite Images

    IEEE International Geoscience & Remote Sensing Symposium, IGARSS’09, Cape Town, South Africa, vol. CD-ROM, 2009.

  • 2006
  • V. Arevalo, J. Gonzalez-Jimenez, J. Valdes, G. Ambrosio,

    Detecting Shadows in QuickBird Satellite Images

    ISPRS Mid-term Symposium 2006. Remote Sensing: From Pixels to Processes, pp. CD-ROM, 2006.

    pdf bibtex
  • G. Ambrosio, V. Arevalo, J. Gonzalez-Jimenez,

    Detección de Sombras en Imágenes de Satélite de Alta Resolución QuickBird (in spanish)

    (in spanish) XXVII Jornadas de Automática, pp. 1306–1312, 2006.

    pdf bibtex
  • 2005
  • V. Arevalo, J. Gonzalez-Jimenez, G. Ambrosio,

    Registro Elástico de Imágenes de Satélite de Alta Resolución Mediante Optimización de Redes Triangulares (in spanish)

    (in spanish) XXVI Jornadas de Automática, pp. 1135–1141, 2005.

    pdf bibtex
  • J.L. Blanco, J. Gonzalez-Jimenez, R. Sanchez, G. Ambrosio, J.A. Fernandez-Madrigal,

    Extracción de Grupos Perceptuales en Imágenes a Partir de Técnicas de partición Espectral de Grafos (in Spanish)

    (in spanish) XXVI Jornadas de Automática, Alicante (Spain), 2005.

    pdf bibtex
  • 2004
  • V. Arevalo, J. Gonzalez-Jimenez, G. Ambrosio,

    Corrección Geométrica de Imágenes de Satélite de Distinta Resolución (in spanish)

    (in spanish) XII Congreso de Métodos Cuantitativos, Sistemas de Información Geográfica y Teledetección, Murcia (Spain), pp. 247–260, 2004.

    pdf bibtex
  • V. Arevalo, J. Gonzalez-Jimenez, G. Ambrosio,

    La Librería de Visión Artificial OpenCV. Aplicación a la Docencia e Investigación (in spanish)

    (in spanish) The Open Source International Conference, pp. CD–ROM, 2004.

    pdf bibtex
  • 2003
  • G. Ambrosio, J. Gonzalez-Jimenez, V. Arevalo,

    Comparación de Imágenes de Satélite para la Detección de Cambios Temporales

    XXIV Jornadas de Automática, 10-12 Septiembre del 2003, León (Spain), 2003.

    pdf bibtex
  • 2002
  • G. Ambrosio, J. Gonzalez-Jimenez, V. Arevalo,

    Corrección Radiométrica y Geométrica de Imágenes para la Detección de Cambios en una Serie Temporal (in spanish)

    (in spanish) X Congreso de Métodos Cuantitativos, Sistemas de Información Geográfica y Teledetección, Valladolid, 2002.

    pdf bibtex
  • 2001
  • J. Gonzalez-Jimenez, G. Ambrosio, V. Arevalo,

    Automatic Urban Change Detection from the IRS-1D PAN

    IEEE-ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas, pp. 320-323, 2001.

    pdf bibtex
  • 2000
  • G. Ambrosio, J. Gonzalez-Jimenez,

    Extracting and Matching Perceptual Groups for Hierarchical Stereo Vision

    Int. Conference on Pattern Recognition (ICPR’00), Barcelona, Spain, 2000.

  • Patents (1)

  • 2009
  • J. Gonzalez-Jimenez, J.M. Lopez, C. Galindo, V. Arevalo, J.L. Blanco, J.A. Fernandez-Madrigal, G. Ambrosio,

    Dispositivo móvil compacto para la identificación de vehículos y gestión integral in-situ de estacionamientos (in Spanish)

    ES2308920 B1, (in spanish) 2009.

    pdf www bibtex

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