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AErial RObotic System for In-Depth Bridge Inspection by Contact

Rezultaty

Publikacje

Experimental Approach to the Aerodynamic Effects Produced in Multirotors Flying Close to Obstacles

Autorzy: P. J. Sanchez-Cuevas, Guillermo Heredia, Anibal Ollero
Opublikowane w: ROBOT 2017: Third Iberian Robotics Conference, Numer 693, 2018, Strona(/y) 742-752, ISBN 978-3-319-70832-4
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-319-70833-1_60

Bridge Mapping for Inspection Using an UAV Assisted by a Total Station

Autorzy: Javier Prada Delgado, Pablo Ramon Soria, B. C. Arrue, A. Ollero
Opublikowane w: ROBOT 2017: Third Iberian Robotics Conference, Numer 694, 2018, Strona(/y) 309-319, ISBN 978-3-319-70835-5
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-319-70836-2_26

Combining Unmanned Aerial Systems and Sensor Networks for Earth Observation

Autorzy: José Martínez-de Dios, Alberto de San Bernabé, Antidio Viguria, Arturo Torres-González, Anibal Ollero
Opublikowane w: Remote Sensing, Numer 9/4, 2017, Strona(/y) 336, ISSN 2072-4292
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs9040336

Robotic System for Inspection by Contact of Bridge Beams Using UAVs

Autorzy: Pedro Sanchez-Cuevas, Pablo Ramon-Soria, Begoña Arrue, Anibal Ollero, Guillermo Heredia
Opublikowane w: Sensors, Numer 19/2, 2019, Strona(/y) 305, ISSN 1424-8220
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s19020305

Robust Decentralized Context-Aware Sensor Fault Detection with In-Place Self-Calibration

Autorzy: J.L. Paneque, J.R. Martinez-Dedios, A. Ollero
Opublikowane w: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018, Strona(/y) 3130-3136, ISBN 978-1-5386-8094-0
Wydawca: IEEE
DOI: 10.1109/IROS.2018.8593680

Rethinking Layer-wise Feature Amounts in Convolutional Neural Network Architectures

Autorzy: Martin Mundt, Sagnik Majumder, Tobias Weis, Visvanathan Ramesh
Opublikowane w: 32nd Conference on Neural Information Processing Systems, Critiquing and Correcting Trends in Machine Learning Workshop, 2018
Wydawca: NeurIPS conference

Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset

Autorzy: Martin Mundt, Sagnik Majumder, Sreenivas Murali, Panagiotis Panetsos, Visvanathan Ramesh
Opublikowane w: IEEE Conference on Computer Vision and Pattern Recognition: CVPR 2019, 2019
Wydawca: IEEE

Micro-Opto-Mechanical sensors for tactile width measurements of surface opening cracks in concrete

Autorzy: Diego Marini, Luca Belsito, Fulvio Mancarella, Filippo Bonafe, Alberto Roncaglia
Opublikowane w: 2017 IEEE SENSORS, 2017, Strona(/y) 1-3, ISBN 978-1-5090-1012-7
Wydawca: IEEE
DOI: 10.1109/icsens.2017.8234130

Multirotor UAS for bridge inspection by contact using the ceiling effect

Autorzy: P. J. Sanchez-Cuevas, G. Heredia, A. Ollero
Opublikowane w: 2017 International Conference on Unmanned Aircraft Systems (ICUAS), 2017, Strona(/y) 767-774, ISBN 978-1-5090-4495-5
Wydawca: IEEE
DOI: 10.1109/icuas.2017.7991412

Aerial manipulator with a compliant arm for bridge inspection

Autorzy: A.E Jimenez-Cano, G. Heredia, A. Ollero
Opublikowane w: 2017 International Conference on Unmanned Aircraft Systems (ICUAS), 2017, Strona(/y) 1217-1222, ISBN 978-1-5090-4495-5
Wydawca: IEEE
DOI: 10.1109/icuas.2017.7991458

Building effective deep neural network architectures one feature at a time

Autorzy: Martin Mundt; Tobias Weis; Kishore Konda; Visvanathan Ramesh
Opublikowane w: ArXiv pre-print, 2017
Wydawca: ArXiv pre-print

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