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Author |
Leo Ramos & Angel D. Sappa |
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Title |
A Decade of You Only Look Once (YOLO) for Object Detection: A Review |
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A Decade of You Only Look Once (YOLO) for Object Detection: A Review |
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cidis @ cidis @ |
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295 |
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Michael B. Estrada, Boris X. Vintimilla & Luis E. Chuquimarca |
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A review of Advances in Artificial Intelligence-Driven Technologies for Assessing Food Quality Using Hyperspectral and Multiespectral Imaging |
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2026 |
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21st International Conference on Computer Vision Theory and Applications VISAPP 2026 |
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cidis @ cidis @ |
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296 |
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Author |
Guillermo C. Erazo, Xavier S. Poma & Angel D. Sappa |
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SynShapes: A synthetic Image-Annotation dataset for Edge Detection |
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2026 |
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21st International Conference on Computer Vision Theory and Applications VISAPP 2026 |
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cidis @ cidis @ |
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297 |
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Henry V. Lara, Andrea M. Plaza, Rafael R. Campodonico, Guillermo C. Erazo & Angel D. Sappa |
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Title |
AVNet: Cross-Spectral Attention-Vision Model for Camouflaged Object Detection in Ecological Conservation |
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2026 |
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21st International Conference on Computer Vision Theory and Applications VISAPP 2026 |
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cidis @ cidis @ |
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298 |
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Author |
Henry O. Velesaca, David Freire-Obregón, Abel Reyes-Angulo, Steven Araujo, and Angel Sappa |
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Title |
MambaKick: Early Penalty Direction Prediction from HAR Embeddings |
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2026 |
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6th International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV-2026) |
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cidis @ cidis @ |
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299 |
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Steven Araujo, Yeins Aristizabal, Edison Rodríguez, Nick Arévalo, Roberto Encalada, Sina Sayadi, Carlos Azua, Cristina De Nardi, & Boris X. Vintimilla |
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Title |
AI-Driven Visual Inspection System for Crack Characterisation and Strength Estimation of Lime Mortar |
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2026 |
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9WCSCM World Conference on Structural Control and Monitoring (WCSCM) |
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Call Number |
cidis @ cidis @ |
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300 |
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Author |
Marjorie Chalen; Boris X. Vintimilla |
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Title |
Towards Action Prediction Applying Deep Learning |
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2019 |
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Latin American Conference on Computational Intelligence (LA-CCI); Guayaquil, Ecuador; 11-15 Noviembre 2019 |
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pp. 1-3 |
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action prediction, early recognition, early detec- tion, action anticipation, cnn, deep learning, rnn, lstm. |
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Considering the incremental development future action prediction by video analysis task of computer vision where it is done based upon incomplete action executions. Deep learning is playing an important role in this task framework. Thus, this paper describes recently techniques and pertinent datasets utilized in human action prediction task. |
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Call Number |
cidis @ cidis @ |
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129 |
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Author |
Ricaurte P; Chilán C; Cristhian A. Aguilera; Boris X. Vintimilla; Angel D. Sappa |
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Title |
Feature Point Descriptors: Infrared and Visible Spectra |
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Journal Article |
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Year |
2014 |
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Sensors Journal |
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Vol. 14 |
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pp. 3690-3701 |
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cross-spectral imaging; feature point descriptors |
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This manuscript evaluates the behavior of classical feature point descriptors when they are used in images from long-wave infrared spectral band and compare them with the results obtained in the visible spectrum. Robustness to changes in rotation, scaling, blur, and additive noise are analyzed using a state of the art framework. Experimental results using a cross-spectral outdoor image data set are presented and conclusions from these experiments are given. |
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English |
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cidis @ cidis @ |
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28 |
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Author |
Dennys Paillacho; F. Novillo; W. Agila.; V. Huilcapi |
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Title |
Impacto de las redes de comunicaciones en los Sistemas Robóticos de Control |
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Journal Article |
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2015 |
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Revista Politécnica |
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Vol. 35 |
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pp. 97-102 |
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Ethernet, CAN, Swichted Ethernet, Sistemas de control en red, Ciclo de comunicación, Control de ajuste de trayectoria |
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Abstract |
El análisis de incidencia que tienen las redes de comunicaciones sobre el comportamiento de los sistemas robóticos de control en red muestra grandes dificultades cuando se quieren hacer evaluaciones de tipo analítico. Por tal razón, en este trabajo un análisis que utiliza una aproximación basada en simulación es propuesto, de manera que el comportamiento temporal y espacial de un sistema robótico de control en red pueda ser evaluado. Para tal efecto, se propone un entorno de validación mediante el cual una red de comunicaciones permita distribuir mensajes de control entre el controlador principal y los controladores remotos ubicados en cada articulación angular del robot manipulador planar. Las interacciones entre los componentes del sistema han sido modeladas mediante un sistema de capas. Dicho modelo es llevado a un entorno de simulación con la finalidad de analizar el impacto de distintos parámetros de comunicaciones (i.e. tipo de red, tasa de datos y tamaño de datos) sobre el ciclo de comunicación y el error de seguimiento de trayectoria en un sistema robótico. |
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Escuela Politécnica Nacional |
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Español |
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Español |
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cidis @ cidis @ |
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33 |
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Author |
Miguel Realpe; Boris X. Vintimilla; Ljubo Vlacic |
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Title |
Multi-sensor Fusion Module in a Fault Tolerant Perception System for Autonomous Vehicles |
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2016 |
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Journal of Automation and Control Engineering (JOACE) |
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Vol. 4 |
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pp. 430-436 |
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Fault Tolerance, Data Fusion, Multi-sensor Fusion, Autonomous Vehicles, Perception System |
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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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cidis @ cidis @ |
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51 |
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