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Author | Cristhian A. Aguilera, Cristhian Aguilera, Cristóbal A. Navarro, & Angel D. Sappa | ||||
Title | Fast CNN Stereo Depth Estimation through Embedded GPU Devices | Type | Journal Article | ||
Year | 2020 | Publication | Sensors 2020 | Abbreviated Journal | |
Volume | Vol. 2020-June | Issue | 11 | Pages | pp. 1-13 |
Keywords | stereo matching; deep learning; embedded GPU | ||||
Abstract | Current CNN-based stereo depth estimation models can barely run under real-time constraints on embedded graphic processing unit (GPU) devices. Moreover, state-of-the-art evaluations usually do not consider model optimization techniques, being that it is unknown what is the current potential on embedded GPU devices. In this work, we evaluate two state-of-the-art models on three different embedded GPU devices, with and without optimization methods, presenting performance results that illustrate the actual capabilities of embedded GPU devices for stereo depth estimation. More importantly, based on our evaluation, we propose the use of a U-Net like architecture for postprocessing the cost-volume, instead of a typical sequence of 3D convolutions, drastically augmenting the runtime speed of current models. In our experiments, we achieve real-time inference speed, in the range of 5–32 ms, for 1216 368 input stereo images on the Jetson TX2, Jetson Xavier, and Jetson Nano embedded devices. |
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Language | English | Summary Language | English | Original Title | |
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ISSN | 14248220 | ISBN | Medium | ||
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Notes | Approved | no | |||
Call Number | cidis @ cidis @ | Serial | 132 | ||
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Author | Ángel Morera, Ángel Sánchez, A. Belén Moreno, Angel D. Sappa, & José F. Vélez | ||||
Title | SSD vs. YOLO for Detection of Outdoor Urban Advertising Panels under Multiple Variabilities. | Type | Journal Article | ||
Year | 2020 | Publication | Abbreviated Journal | In Sensors | |
Volume | Vol. 2020-August | Issue | 16 | Pages | pp. 1-23 |
Keywords | object detection; urban outdoor panels; one-stage detectors; Single Shot MultiBox Detector (SSD); You Only Look Once (YOLO); detection metrics; object and scene imaging variabilities | ||||
Abstract | This work compares Single Shot MultiBox Detector (SSD) and You Only Look Once (YOLO) deep neural networks for the outdoor advertisement panel detection problem by handling multiple and combined variabilities in the scenes. Publicity panel detection in images oers important advantages both in the real world as well as in the virtual one. For example, applications like Google Street View can be used for Internet publicity and when detecting these ads panels in images, it could be possible to replace the publicity appearing inside the panels by another from a funding company. In our experiments, both SSD and YOLO detectors have produced acceptable results under variable sizes of panels, illumination conditions, viewing perspectives, partial occlusion of panels, complex background and multiple panels in scenes. Due to the diculty of finding annotated images for the considered problem, we created our own dataset for conducting the experiments. The major strength of the SSD model was the almost elimination of False Positive (FP) cases, situation that is preferable when the publicity contained inside the panel is analyzed after detecting them. On the other side, YOLO produced better panel localization results detecting a higher number of True Positive (TP) panels with a higher accuracy. Finally, a comparison of the two analyzed object detection models with dierent types of semantic segmentation networks and using the same evaluation metrics is also included. |
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Language | English | Summary Language | English | Original Title | |
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ISSN | ISBN | 14248220 | Medium | ||
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Notes | Approved | no | |||
Call Number | cidis @ cidis @ | Serial | 133 | ||
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Author | Dennys Paillacho; Nayeth I. Solorzano Alcivar; Jonathan S. Paillacho Corredores | ||||
Title | LOLY 1.0: A Proposed Human-Robot-Game Platform Architecture for the Engagement of Children with Autism in the Learning Process | Type | Book Chapter | ||
Year | 2021 | Publication | The international Conference on Systems and Information Sciences (ICCIS 2020), julio 27-29. Advances in Intelligent Systems and Computing. | Abbreviated Journal | |
Volume | 1273 | Issue | Pages | 225-238 | |
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ISSN | 21945357 | ISBN | 978-303059193-9 | Medium | |
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Notes | Approved | yes | |||
Call Number | cidis @ cidis @ | Serial | 185 | ||
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Author | Morocho-Cayamcela, M.E. & W. Lim | ||||
Title | Lateral confinement of high-impedance surface-waves through reinforcement learning | Type | Journal Article | ||
Year | 2020 | Publication | Electronics Letters | Abbreviated Journal | |
Volume | Vol. 56 | Issue | 23, 12 November 2020 | Pages | pp. 1262-1264 |
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Abstract | The authors present a model-free policy-based reinforcement learning model that introduces perturbations on the pattern of a metasurface. The objective is to learn a policy that changes the size of the patches, and therefore the impedance in the sides of an artificially structured material. The proposed iterative model assigns the highest reward when the patch sizes allow the transmission along a constrained path and penalties when the patch sizes make the surface wave radiate to the sides of the metamaterial. After convergence, the proposed model learns an optimal patch pattern that achieves lateral confinement along the metasurface. Simulation results show that the proposed learned-pattern can effectively guide the electromagnetic wave through a metasurface, maintaining its instantaneous eigenstate when the homogeneity is perturbed. Moreover, the pattern learned to prevent reflections by changing the patch sizes adiabatically. The reflection coefficient S1, 2 shows that most of the power gets transferred from the source to the destination with the proposed design. |
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Language | English | Summary Language | Original Title | ||
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Notes | Approved | no | |||
Call Number | cidis @ cidis @ | Serial | 139 | ||
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Author | Miguel A. Murillo, Julio E. Alvia, & Miguel Realpe | ||||
Title | Beyond visual and radio line of sight UAVs monitoring system through open software in a simulated environment. | Type | Conference Article | ||
Year | 2021 | Publication | The 2nd International Conference on Applied Technologies (ICAT 2020), diciembre 2-4. Communications in Computer and Information Science | Abbreviated Journal | |
Volume | 1388 | Issue | Pages | 629-642 | |
Keywords | Drone, Open Source, Internet, Web Application, Web Server, SITL, Line of sight, UAV. | ||||
Abstract | The problem of loss of line of sight when operating drones has be-come a reality with adverse effects for professional and amateur drone opera-tors, since it brings technical problems such as loss of data collected by the de-vice in one or more instants of time during the flight and even misunderstand-ings of legal nature when the drone flies over prohibited or private places. This paper describes the implementation of a drone monitoring system using the In-ternet as a long-range communication network in order to avoid the problem of loss of communication between the ground station and the device. For this, a simulated environment is used through an appropriate open software tool. The operation of the system is based on a client that makes requests to a server, the latter in turn communicates with several servers, each of which has a drone connected to it. In the proposed system when a drone is ready to start a flight, its server informs the main server of the system, which in turn gives feedback to the client informing it that the device is ready to carry out the flight; this way customers can send a mission to the device and keep track of its progress in real time on the screen of their web application. | ||||
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Call Number | cidis @ cidis @ | Serial | 186 | ||
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Author | Patricia L. Suárez, Angel D. Sappa and Boris X. Vintimilla | ||||
Title | Deep learning-based vegetation index estimation | Type | Book Chapter | ||
Year | 2021 | Publication | Generative Adversarial Networks for Image-to-Image Translation Book. | Abbreviated Journal | |
Volume | Chapter 9 | Issue | Issue 2 | Pages | 205-232 |
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Notes | Approved | no | |||
Call Number | cidis @ cidis @ | Serial | 137 | ||
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Author | Morocho-Cayamcela, M.E. | ||||
Title | Increasing the Segmentation Accuracy of Aerial Images with Dilated Spatial Pyramid Pooling | Type | Journal Article | ||
Year | 2020 | Publication | Electronic Letters on Computer Vision and Image Analysis (ELCVIA) | Abbreviated Journal | |
Volume | Vol. 19 | Issue | Issue 2 | Pages | pp. 17-21 |
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Call Number | cidis @ cidis @ | Serial | 140 | ||
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Author | Rosero Vasquez Shendry | ||||
Title | Facial recognition: traditional methods vs. methods based on deep learning. Advances in Intelligent Systems and Computing – Information Technology and Systems Proceedings of ICITS 2020. | Type | Journal Article | ||
Year | 2020 | Publication | Abbreviated Journal | ||
Volume | Issue | Pages | 615-625 | ||
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Call Number | cidis @ cidis @ | Serial | 145 | ||
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Author | Viñán-Ludeña, M.S., Roberto Jacome Galarza, Montoya, L.R., Leon, A.V., & Ramírez, C.C. | ||||
Title | Smart university: an architecture proposal for information management using open data for research projects. | Type | Journal Article | ||
Year | 2020 | Publication | Advances in Intelligent Systems and Computing | Abbreviated Journal | |
Volume | 1137 AISC, 2020 | Issue | Pages | 172-178 | |
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Call Number | cidis @ cidis @ | Serial | 188 | ||
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Author | Steven Silva, Dennys Paillacho., David Soque, María Guerra & Jonathan Paillacho | ||||
Title | Autonomous Intelligent Navigation For Mobile Robots In Closed Environments. | Type | Conference Article | ||
Year | 2021 | Publication | The 2nd International Conference on Applied Technologies (ICAT 2020), diciembre 2-4. Communications in Computer and Information Science | Abbreviated Journal | |
Volume | 1388 | Issue | Pages | 391-402 | |
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Call Number | cidis @ cidis @ | Serial | 187 | ||
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