AErial RObotic System for In-Depth Bridge Inspection by Contact

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Dissemination plan Draft

Standardisation

List of proposed standards and pre-norms + actions to promote them

Project website
Brochure of the project

Publications

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

Auteurs: P. J. Sanchez-Cuevas, Guillermo Heredia, Anibal Ollero
Publié dans: ROBOT 2017: Third Iberian Robotics Conference, Numéro 693, 2018, Page(s) 742-752, ISBN 978-3-319-70832-4
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-70833-1_60

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

Auteurs: Javier Prada Delgado, Pablo Ramon Soria, B. C. Arrue, A. Ollero
Publié dans: ROBOT 2017: Third Iberian Robotics Conference, Numéro 694, 2018, Page(s) 309-319, ISBN 978-3-319-70835-5
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-319-70836-2_26

Combining Unmanned Aerial Systems and Sensor Networks for Earth Observation

Auteurs: José Martínez-de Dios, Alberto de San Bernabé, Antidio Viguria, Arturo Torres-González, Anibal Ollero
Publié dans: Remote Sensing, Numéro 9/4, 2017, Page(s) 336, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs9040336

Robotic System for Inspection by Contact of Bridge Beams Using UAVs

Auteurs: Pedro Sanchez-Cuevas, Pablo Ramon-Soria, Begoña Arrue, Anibal Ollero, Guillermo Heredia
Publié dans: Sensors, Numéro 19/2, 2019, Page(s) 305, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s19020305

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

Auteurs: J.L. Paneque, J.R. Martinez-Dedios, A. Ollero
Publié dans: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018, Page(s) 3130-3136, ISBN 978-1-5386-8094-0
Éditeur: IEEE
DOI: 10.1109/IROS.2018.8593680

Rethinking Layer-wise Feature Amounts in Convolutional Neural Network Architectures

Auteurs: Martin Mundt, Sagnik Majumder, Tobias Weis, Visvanathan Ramesh
Publié dans: 32nd Conference on Neural Information Processing Systems, Critiquing and Correcting Trends in Machine Learning Workshop, 2018
Éditeur: NeurIPS conference

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

Auteurs: Martin Mundt, Sagnik Majumder, Sreenivas Murali, Panagiotis Panetsos, Visvanathan Ramesh
Publié dans: IEEE Conference on Computer Vision and Pattern Recognition: CVPR 2019, 2019
Éditeur: IEEE

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

Auteurs: Diego Marini, Luca Belsito, Fulvio Mancarella, Filippo Bonafe, Alberto Roncaglia
Publié dans: 2017 IEEE SENSORS, 2017, Page(s) 1-3, ISBN 978-1-5090-1012-7
Éditeur: IEEE
DOI: 10.1109/icsens.2017.8234130

Multirotor UAS for bridge inspection by contact using the ceiling effect

Auteurs: P. J. Sanchez-Cuevas, G. Heredia, A. Ollero
Publié dans: 2017 International Conference on Unmanned Aircraft Systems (ICUAS), 2017, Page(s) 767-774, ISBN 978-1-5090-4495-5
Éditeur: IEEE
DOI: 10.1109/icuas.2017.7991412

Aerial manipulator with a compliant arm for bridge inspection

Auteurs: A.E Jimenez-Cano, G. Heredia, A. Ollero
Publié dans: 2017 International Conference on Unmanned Aircraft Systems (ICUAS), 2017, Page(s) 1217-1222, ISBN 978-1-5090-4495-5
Éditeur: IEEE
DOI: 10.1109/icuas.2017.7991458

Building effective deep neural network architectures one feature at a time

Auteurs: Martin Mundt; Tobias Weis; Kishore Konda; Visvanathan Ramesh
Publié dans: ArXiv pre-print, 2017
Éditeur: ArXiv pre-print

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