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Your search keyword '"Munguía, Rodrigo"' showing total 27 results
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27 results on '"Munguía, Rodrigo"'

2. Behavioral-Based Autonomous Robot Operation Under Robot-Central Base Loss of Communication

Author

Grau, Antoni, Guerrra, Edmundo, Bolea, Yolanda, Munguia, Rodrigo, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, and Zallio, Matteo, editor

Published
2021
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3. Robotic Monocular SLAM in Wastewater Treatment Plants with a Sampling Device

Author

Guerra, Edmundo, Bolea, Yolanda, Munguia, Rodrigo, Grau, Antoni, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, and Chen, Jessie, editor

Published
2020
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7. Single Sound Source SLAM

Author

Munguía, Rodrigo, Grau, Antoni, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Ruiz-Shulcloper, José, editor, and Kropatsch, Walter G., editor

Published
2008
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8. Learning Variability of Image Feature Appearance Using Statistical Methods

Author

Munguía, Rodrigo, Grau, Antoni, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Martínez-Trinidad, José Francisco, editor, and Carrasco Ochoa, Jesús Ariel, editor

Published
2006
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25. Learning Variability of Image Feature Appearance Using Statistical Methods.

Author

Martínez-Trinidad, José Francisco, Carrasco Ochoa, Jesús Ariel, Kittler, Josef, Munguía, Rodrigo, and Grau, Antoni

Abstract

Motivated by the problems of vision-based mobile robot map building and localization, in this work, we show that using statistical learning methods the performance of the standard descriptor based methodology for matching image features in a wide base line can be improved. First, we propose two kinds of descriptors for image features and two statistical learning methods. Later, we present a study of the performance of descriptors with and without the statistical learning methods. This work does not pretend to present an exhaustive description of the mentioned methods but to give a good idea the effectiveness of using statistical learning methods together with descriptors for matching image features in a wide base line. [ABSTRACT FROM AUTHOR]

Published
2006
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26. Closing Loops With a Virtual Sensor Based on Monocular SLAM.

Author

Munguía, Rodrigo and Grau, Antoni

Subjects
*COMPUTER vision, *ROBOT vision, *ROBOTS, *DETECTORS, *AUTOMATIC control systems
Abstract

Monocular simultaneous localization and mapping (SLAM) techniques implicitly estimate camera ego-motion while incrementally building a map of the environment. In monocular SLAM, when the number of features in the system state increases, maintaining a realtime operation becomes very difficult. However, it is easy to remove old features from the state to maintain a stable computational cost per frame. If features are removed from the map, then previously mapped areas cannot be recognized to minimize the robot's drift; alternatively, in the context of a real-time virtual sensor that emulates typical sensors as laser for range measurements and encoders for dead reckoning, this limitation should not be a problem. In this paper, a novel framework is proposed to build in real time a consistent map of the environment using the virtual-sensor estimations. At the same time, the proposed approach allows minimizing the drift of the camera-robot position. Experiments with real data are presented to show the performance of this frame of work. [ABSTRACT FROM AUTHOR]

Published
2009
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27. Toward Autonomous UAV Localization via Aerial Image Registration.

Author

Wang, Xuezhi, Kealy, Allison, Li, Wenchao, Jelfs, Beth, Gilliam, Christopher, Le May, Samantha, Moran, Bill, Munguía, Rodrigo, and Grau, Antoni

Subjects
IMAGE registration, DEGREES of freedom, VIRTUAL reality, DRONE aircraft, OCEAN waves, BEACONS, LOCALIZATION (Mathematics)
Abstract

Absolute localization of a flying UAV on its own in a global-navigation-satellite-system (GNSS)-denied environment is always a challenge. In this paper, we present a landmark-based approach where a UAV is automatically locked into the landmark scene shown in a georeferenced image via a feedback control loop, which is driven by the output of an aerial image registration. To pursue a real-time application, we design and implement a speeded-up-robust-features (SURF)-based image registration algorithm that focuses efficiency and robustness under a 2D geometric transformation. A linear UAV controller with signals of four degrees of freedom is derived from the estimated transformation matrix. The approach is validated in a virtual simulation environment, with experimental results demonstrating the effectiveness and robustness of the proposed UAV self-localization system. [ABSTRACT FROM AUTHOR]

Published
2021
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