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Author Emmanuel Moran, Boris Vintimilla & Miguel Realpe
Title (up) Towards a Robust Solution for the Supermarket Shelf Audit Problem. Type Conference Article
Year 2023 Publication 26th Iberoamerican Congress on Pattern Recognition (CIARP 2023) Coimbra 27-30 November 2023 Abbreviated Journal
Volume Vol. 14469 LNCS Issue Pages 257-271
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ISSN 03029743 ISBN 978-303149017-0 Medium
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Call Number cidis @ cidis @ Serial 204
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Author Tyrone Rodríguez, Adriana Guilindro, Paolo Piedrahita & Miguel Realpe
Title (up) Towards Birds Conservation in Dry Forest Ecosystems through Audio Recognition via Deep Learning Type Conference Article
Year 2025 Publication Lecture Notes in Networks and Systems: 9th International Congress on Information and Communication Technology ICICT 2024 London 19 – 22 Febraury 2024 Abbreviated Journal
Volume Issue Pages 45 - 57
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Call Number cidis @ cidis @ Serial 239
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Author Miguel Realpe; Boris X. Vintimilla; L. Vlacic
Title (up) Towards Fault Tolerant Perception for autonomous vehicles: Local Fusion. Type Conference Article
Year 2015 Publication IEEE 7th International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM), Siem Reap, 2015. Abbreviated Journal
Volume Issue Pages 253-258
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Abstract Many robust sensor fusion strategies have been developed in order to reliably detect the surrounding environments of an autonomous vehicle. However, in real situations there is always the possibility that sensors or other components may fail. Thus, internal modules and sensors need to be monitored to ensure their proper function. This paper introduces a general view of a perception architecture designed to detect and classify obstacles in an autonomous vehicle's environment using a fault tolerant framework, whereas elaborates the object detection and local fusion modules proposed in order to achieve the modularity and real-time process required by the system.
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Call Number cidis @ cidis @ Serial 37
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Author Pabelco Zambrano, Fernanda Calderon, Héctor Villegas, Jonathan Paillacho, Doménica Pazmiño, Miguel Realpe
Title (up) UAV Remote Sensing applications and current trends in crop monitoring and diagnostics: A Systematic Literature Review Type Conference Article
Year 2023 Publication IEEE 13th International Conference on Pattern Recognition Systems (ICPRS) 2023, 4-7 julio 2023 Abbreviated Journal
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ISSN ISBN 979-835033337-4 Medium
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Call Number cidis @ cidis @ Serial 214
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Author José Reyes; Axel Godoy; Miguel Realpe.
Title (up) Uso de software de código abierto para fusión de imágenes agrícolas multiespectrales adquiridas con drones. Type Conference Article
Year 2019 Publication International Multi-Conference of Engineering, Education and Technology (LACCEI 2019); Montego Bay, Jamaica Abbreviated Journal
Volume 2019-July Issue Pages
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Abstract Los drones o aeronaves no tripuladas son muy útiles para la adquisición de imágenes, de forma mucho más simple que los satélites o aviones. Sin embargo, las imágenes adquiridas por drones deben ser combinadas de alguna forma para convertirse en información de valor sobre un terreno o cultivo. Existen diferentes programas que reciben imágenes y las combinan en una sola imagen, cada uno con diferentes características (rendimiento, precisión, resultados, precio, etc.). En este estudio se revisaron diferentes programas de código abierto para fusión de imágenes, con el ?n de establecer cuál de ellos es más útil, especí?camente para ser utilizado por pequeños y medianos agricultores en Ecuador. Los resultados pueden ser de interés para diseñadores de software, ya que al utilizar código abierto, es posible modi?car e integrar los programas en un ?ujo de trabajo más simpli?cado. Además, que permite disminuir costos debido a que no requiere de pagos de licencias para su uso, lo cual puede repercutir en un mayor acceso a la tecnología para los pequeños y medianos agricultores. Como parte de los resultados de este estudio se ha creado un repositorio de acceso público con algoritmos de pre-procesamiento necesarios para manipular las imágenes adquiridas por una cámara multiespectral y para luego obtener un mapa completo en formatos RGB, CIR y NDVI.
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Call Number gtsi @ user @ Serial 102
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