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Author Miguel Realpe; Boris X. Vintimilla; Ljubo Vlacic
Title (up) Multi-sensor Fusion Module in a Fault Tolerant Perception System for Autonomous Vehicles Type Journal Article
Year 2016 Publication Journal of Automation and Control Engineering (JOACE) Abbreviated Journal
Volume Vol. 4 Issue Pages pp. 430-436
Keywords Fault Tolerance, Data Fusion, Multi-sensor Fusion, Autonomous Vehicles, Perception System
Abstract Driverless vehicles are currently being tested on public roads in order to examine their ability to perform in a safe and reliable way in real world situations. However, the long-term reliable operation of a vehicle’s diverse sensors and the effects of potential sensor faults in the vehicle system have not been tested yet. This paper is proposing a sensor fusion architecture that minimizes the influence of a sensor fault. Experimental results are presented simulating faults by introducing displacements in the sensor information from the KITTI dataset.
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Call Number cidis @ cidis @ Serial 51
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Author Roberto Jacome Galarza.
Title (up) Multimodal deep learning for crop yield prediction. Type Conference Article
Year 2022 Publication Doctoral Symposium on Information and Communication Technologies –DSICT 2022. Octubre 12-14. Abbreviated Journal
Volume 1647 Issue Communicationsin Computer and Infor Pages 106-117
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Call Number cidis @ cidis @ Serial 193
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Author Xavier Soria; Angel D. Sappa; Arash Akbarinia
Title (up) Multispectral Single-Sensor RGB-NIR Imaging: New Challenges an Oppotunities Type Conference Article
Year 2017 Publication The 7th International Conference on Image Processing Theory, Tools and Application Abbreviated Journal
Volume Issue Pages 1-6
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Call Number gtsi @ user @ Serial 72
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Author Patricia L. Suarez; Angel D. Sappa; Boris X. Vintimilla; Riad I. Hammoud
Title (up) Near InfraRed Imagery Colorization Type Conference Article
Year 2018 Publication 25 th IEEE International Conference on Image Processing, ICIP 2018 Abbreviated Journal
Volume Issue Pages 2237-2241
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Abstract This paper proposes a stacked conditional Generative

Adversarial Network-based method for Near InfraRed

(NIR) imagery colorization. We propose a variant architecture

of Generative Adversarial Network (GAN) that uses multiple

loss functions over a conditional probabilistic generative model.

We show that this new architecture/loss-function yields better

generalization and representation of the generated colored IR

images. The proposed approach is evaluated on a large test

dataset and compared to recent state of the art methods using

standard metrics.1

Index Terms—Convolutional Neural Networks (CNN), Generative

Adversarial Network (GAN), Infrared Imagery colorization.
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Call Number gtsi @ user @ Serial 81
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Author Patricia L. Suárez, Dario Carpio, and Angel Sappa
Title (up) Non-Homogeneous Haze Removal through a Multiple Attention Module Architecture. Type Conference Article
Year 2021 Publication 16 International Symposium on Visual Computing. Octubre 4-6, 2021. Lecture Notes in Computer Science Abbreviated Journal
Volume 13018 Issue Pages 178-190
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Call Number cidis @ cidis @ Serial 162
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Author Benítez-Quintero J., Quevedo-Pinos O., Calderon, Fernanda
Title (up) Notes on Sulfur Fluxes in Urban Areas with Industrial Activity Type Conference Article
Year 2022 Publication 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2022, Abbreviated Journal
Volume 2022-July Issue Pages
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Call Number cidis @ cidis @ Serial 201
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Author Rafael E. Rivadeneira, Henry O. Velesaca, Angel D. Sappa
Title (up) Object Detection in Very Low-Resolution Thermal Images through a Guided-Based Super-Resolution Approach Type Conference Article
Year 2023 Publication 17th International Conference On Signal Image Technology & Internet Based System Abbreviated Journal
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Call Number cidis @ cidis @ Serial 224
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Author Henry O. Velesaca, Steven Araujo, Patricia L. Suarez, Ángel Sanchez & Angel D. Sappa
Title (up) Off-the-Shelf Based System for Urban Environment Video Analytics. Type Conference Article
Year 2020 Publication The 27th International Conference on Systems, Signals and Image Processing (IWSSIP 2020) Abbreviated Journal
Volume 2020-July Issue 9145121 Pages 459-464
Keywords Greenhouse gases, carbon footprint, object detection, object tracking, website framework, off-the-shelf video analytics.
Abstract This paper presents the design and implementation details of a system build-up by using off-the-shelf algorithms for urban video analytics. The system allows the connection to public video surveillance camera networks to obtain the necessary

information to generate statistics from urban scenarios (e.g., amount of vehicles, type of cars, direction, numbers of persons, etc.). The obtained information could be used not only for traffic management but also to estimate the carbon footprint of urban scenarios. As a case study, a university campus is selected to

evaluate the performance of the proposed system. The system is implemented in a modular way so that it is being used as a testbed to evaluate different algorithms. Implementation results are provided showing the validity and utility of the proposed approach.
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ISSN 21578672 ISBN 978-172817539-3 Medium
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Call Number cidis @ cidis @ Serial 125
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Author Steven Silva, Nervo Verdezoto, Dennys Paillacho, Samuel Millan-Norman & Juan David Hernandez
Title (up) Online Social Robot Navigation in Indoor, Large and Crowded Environments. Type Conference Article
Year 2023 Publication IEEE International Conference on Robotics and Automation (ICRA 2023) Abbreviated Journal
Volume 2023-May Issue Pages 9749 - 9756
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ISSN 10504729 ISBN 979-835032365-8 Medium
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Call Number cidis @ cidis @ Serial 206
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Author W. Agila; Gomer Rubio; L. Miranda; D. Sanaguano
Title (up) Open Control Architecture for the Characterization and Control of the PEM Fuel Cell Type Conference Article
Year 2019 Publication IEEE ETCM 2019 Fourth Ecuador Technical Chapters Meeting; Guayaquil, Ecuador Abbreviated Journal
Volume Issue Pages 1-5
Keywords PEM fuel cell, Experimental System, Control Engineering.
Abstract Proton exchange membrane (PEM) fuel cells, are an efficient and clean source of electrical energy. The analysis of its operation requires experimental work, which allows measuring, modeling and optimizing PEM fuel cells electrical behavior under different operating conditions. Therefore, having an experimentation platform that allows to easily carry out its study and control is essential. This research presents the design and development of an open instrumental system that allows measuring, controlling and determining the operating parameters of a PEM fuel cell. As results, the polarization curves, voltage-current, obtained by the system itself in different experimental conditions are shown. These curves are a very useful tool to evaluate the electrical behavior of the PEM battery.
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Call Number gtsi @ user @ Serial 118
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