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| Author | Charco, J.L., Sappa, A.D., Vintimilla, B.X., Velesaca, H.O. | ||||
| Title | Camera pose estimation in multi-view environments:from virtual scenarios to the real world | Type | Journal Article | ||
| Year | 2021 | Publication  |
In Image and Vision Computing Journal. (Article number 104182) | Abbreviated Journal | |
| Volume | Vol. 110 | Issue | Pages | ||
| Keywords | Relative camera pose estimation, Domain adaptation, Siamese architecture, Synthetic data, Multi-view environments | ||||
| Abstract | This paper presents a domain adaptation strategy to efficiently train network architectures for estimating the relative camera pose in multi-view scenarios. The network architectures are fed by a pair of simultaneously acquired images, hence in order to improve the accuracy of the solutions, and due to the lack of large datasets with pairs of overlapped images, a domain adaptation strategy is proposed. The domain adaptation strategy consists on transferring the knowledge learned from synthetic images to real-world scenarios. For this, the networks are firstly trained using pairs of synthetic images, which are captured at the same time by a pair of cameras in a virtual environment; and then, the learned weights of the networks are transferred to the real-world case, where the networks are retrained with a few real images. Different virtual 3D scenarios are generated to evaluate the relationship between the accuracy on the result and the similarity between virtual and real scenarios—similarity on both geometry of the objects contained in the scene as well as relative pose between camera and objects in the scene. Experimental results and comparisons are provided showing that the accuracy of all the evaluated networks for estimating the camera pose improves when the proposed domain adaptation strategy is used, highlighting the importance on the similarity between virtual-real scenarios. |
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| Language | English | Summary Language | English | Original Title | |
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| Notes | Approved | no | |||
| Call Number | cidis @ cidis @ | Serial | 147 | ||
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| Author | Patricia Súarez, Henry Velesaca, Dario Carpio & Angel Sappa | ||||
| Title | Corn Kernel Classification From Few Training Samples | Type | Journal Article | ||
| Year | 2023 | Publication |
In journal Artificial Intelligence in Agriculture | Abbreviated Journal | |
| Volume | Vol. 9 | Issue | Pages | pp. 89-99 | |
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| ISSN | 25897217 | ISBN | Medium | ||
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| Notes | Approved | no | |||
| Call Number | cidis @ cidis @ | Serial | 223 | ||
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| Author | Santos, V., Sappa, A.D., Oliveira, M. & de la Escalera, A. | ||||
| Title | Editorial: Special Issue on Autonomous Driving and Driver Assistance Systems – Some Main Trends | Type | Journal Article | ||
| Year | 2021 | Publication |
In Journal: Robotics and Autonomous Systems. (Article number 103832) | Abbreviated Journal | |
| Volume | Vol. 144 | Issue | Pages | ||
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| Notes | Approved | no | |||
| Call Number | cidis @ cidis @ | Serial | 158 | ||
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| Author | Rubio, G.A., Agila, W.E | ||||
| Title | A fuzzy model to manage water in polymer electrolyte membrane fuel cells | Type | Journal Article | ||
| Year | 2021 | Publication |
In Processes Journal. (Article number 904) | Abbreviated Journal | |
| Volume | Vol. 9 | Issue | Issue 6 | Pages | |
| Keywords | PEM fuel cell, fuzzy, neural network, electrical response, flooding, drying. | ||||
| 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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| Language | English | Summary Language | Original Title | ||
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| Notes | Approved | no | |||
| Call Number | cidis @ cidis @ | Serial | 153 | ||
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| Author | Santos V.; Angel D. Sappa.; Oliveira M. & de la Escalera A. | ||||
| Title | Special Issue on Autonomous Driving and Driver Assistance Systems | Type | Journal Article | ||
| Year | 2019 | Publication |
In Robotics and Autonomous Systems | Abbreviated Journal | |
| Volume | 121 | Issue | Pages | ||
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| Notes | Approved | no | |||
| Call Number | gtsi @ user @ | Serial | 119 | ||
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| Author | Victor Santos; Angel D. Sappa; Miguel Oliveira | ||||
| Title | Special Issue on Autonomous Driving an Driver Assistance Systems | Type | Journal Article | ||
| Year | 2017 | Publication |
In Robotics and Autonomous Systems Journal | Abbreviated Journal | |
| Volume | Vol. 91 | Issue | Pages | pp. 208-209 | |
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| Notes | Approved | no | |||
| Call Number | gtsi @ user @ | Serial | 65 | ||
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| Author | Cristhian A. Aguilera; Cristhian Aguilera; Angel D. Sappa | ||||
| Title | Melamine faced panels defect classification beyond the visible spectrum. | Type | Journal Article | ||
| Year | 2018 | Publication |
In Sensors 2018 | Abbreviated Journal | |
| Volume | Vol. 11 | Issue | Issue 11 | Pages | |
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| Abstract | In this work, we explore the use of images from different spectral bands to classify defects in melamine faced panels, which could appear through the production process. Through experimental evaluation, we evaluate the use of images from the visible (VS), near-infrared (NIR), and long wavelength infrared (LWIR), to classify the defects using a feature descriptor learning approach together with a support vector machine classifier. Two descriptors were evaluated, Extended Local Binary Patterns (E-LBP) and SURF using a Bag of Words (BoW) representation. The evaluation was carried on with an image set obtained during this work, which contained five different defect categories that currently occurs in the industry. Results show that using images from beyond the visual spectrum helps to improve classification performance in contrast with a single visible spectrum solution. |
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| Notes | Approved | no | |||
| Call Number | gtsi @ user @ | Serial | 89 | ||
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| Author | Cristhian A. Aguilera; Angel D. Sappa; Ricardo Toledo | ||||
| Title | Cross-Spectral Local Descriptors via Quadruplet Network | Type | Journal Article | ||
| Year | 2017 | Publication |
In Sensors Journal | Abbreviated Journal | |
| Volume | Vol. 17 | Issue | Pages | pp. 873 | |
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| Notes | Approved | no | |||
| Call Number | gtsi @ user @ | Serial | 64 | ||
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| Author | M. Oliveira; L. Seabra Lopes; G. Hyun Lim; S. Hamidreza Kasaei; Angel D. Sappa; A. Tomé | ||||
| Title | Concurrent Learning of Visual Codebooks and Object Categories in Open- ended Domains | Type | Conference Article | ||
| Year | 2015 | Publication |
Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on, Hamburg, Germany, 2015 | Abbreviated Journal | |
| Volume | Issue | Pages | 2488 - 2495 | ||
| Keywords | Birds, Training, Legged locomotion, Visualization, Histograms, Object recognition, Gaussian mixture model | ||||
| Abstract | In open-ended domains, robots must continuously learn new object categories. When the training sets are created offline, it is not possible to ensure their representativeness with respect to the object categories and features the system will find when operating online. In the Bag of Words model, visual codebooks are usually constructed from training sets created offline. This might lead to non-discriminative visual words and, as a consequence, to poor recognition performance. This paper proposes a visual object recognition system which concurrently learns in an incremental and online fashion both the visual object category representations as well as the codebook words used to encode them. The codebook is defined using Gaussian Mixture Models which are updated using new object views. The approach contains similarities with the human visual object recognition system: evidence suggests that the development of recognition capabilities occurs on multiple levels and is sustained over large periods of time. Results show that the proposed system with concurrent learning of object categories and codebooks is capable of learning more categories, requiring less examples, and with similar accuracies, when compared to the classical Bag of Words approach using codebooks constructed offline. | ||||
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| Publisher | IEEE | Place of Publication | Hamburg, Germany | Editor | |
| Language | English | Summary Language | English | Original Title | |
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| Area | Expedition | Conference | 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) | ||
| Notes | Approved | no | |||
| Call Number | cidis @ cidis @ | Serial | 41 | ||
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| Author | Angel D. Sappa. | ||||
| Title | ICT Applications for Smart Cities | Type | Book Chapter | ||
| Year | 2022 | Publication |
Intelligent Systems Reference Library | Abbreviated Journal | BOOK |
| Volume | 224 | Issue | Pages | ||
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| Notes | Approved | no | |||
| Call Number | cidis @ cidis @ | Serial | 198 | ||
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