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Dylan Bowald, J. W., Oliver Nina, Angel Sappa, Riad Hammoud, Erik Blasch, Nathan Inkawhich. (2025). 3th Multi-modal Aerial View Image Challenge: Sensor Domain Translation – PBVS 2025. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2025.
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Nathan Inkawhich, C. T., Justice Wheelwright, Oliver Nina, Dylan Bowald, Angel Sappa, Erik Blasch. (2025). 4th Multi-modal Aerial View Image Challenge: SAR CLASSIFICATION – PBVS 2025. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2025, .
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Angel J. Valencia, Roger M. Idrovo, Angel D. Sappa, Douglas Plaza G., & Daniel Ochoa. (2017). A 3D Vision Based Approach for Optimal Grasp of Vacuum Grippers. In 2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their application to Mechatronics (ECMSM) (pp. 1–6).
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Henry O. Velesaca, A. D. S. & J. A. H. (2025). A Case Study of Anomaly Detection in Tinplate Lids: Supervised vs Unsupervised approaches. 11th International Conference on Automation, Robotics, and Applications (ICARA 2025), .
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Abel Rubio, W. A., Leandro Gonzalez, Maria Ramirez, Herman Pineda. (2023). A Critical Analysis of the Impact of the Pandemic on Sustainable Energy Scenarios. In 11th International Conference On Smart Grid (ICSMARTGRID 2023) Paris, 4-7 junio 2023.
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Suarez Patricia, Carpio Dario, & Sappa Angel D. (2023). A Deep Learning Based Approach for Synthesizing Realistic Depth Maps. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics 22nd International Conference on Image Analysis and Processing, ICIAP 2023 Udine 11 – 15 September 2023 (Vol. 14234 LNCS, pp. 369–380).
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Angely Oyola, Dennis G. Romero, & Boris X. Vintimilla. (2017). A Dijkstra-based algorithm for selecting the Shortest-Safe Evacuation Routes in dynamic environments (SSER). In The 30th International Conference on Industrial, Engineering, Other Applications of Applied Intelligent Systems (IEA/AIE 2017) (pp. 131–135).
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Miguel Realpe, Boris X. Vintimilla, & Ljubo Vlacic. (2016). A Fault Tolerant Perception system for autonomous vehicles. In 35th Chinese Control Conference (CCC2016), International Conference on, Chengdu (pp. 1–6).
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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Rubio, G. A., Agila, W.E. (2021). A fuzzy model to manage water in polymer electrolyte membrane fuel cells. In Processes Journal. (Article number 904), Vol. 9(Issue 6).
Abstract: In this paper, a fuzzy model is presented to determine in real-time the degree of dehydration or flooding of a proton exchange membrane of a fuel cell, to optimize its electrical response and consequently, its autonomous operation. By applying load, current and flux variations in the dry, normal, and flooded states of the membrane, it was determined that the temporal evolution of the fuel cell voltage is characterized by changes in slope and by its voltage oscillations. The results were validated using electrochemical impedance spectroscopy and show slope changes from 0.435 to 0.52 and oscillations from 3.6 mV to 5.2 mV in the dry state, and slope changes from 0.2 to 0.3 and oscillations from 1 mV to 2 mV in the flooded state. The use of fuzzy logic is a novelty and constitutes a step towards the progressive automation of the supervision, perception, and intelligent control of fuel cells, allowing them to reduce their risks and increase their economic benefits.
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