AErial RObotic System for In-Depth Bridge Inspection by Contact

Project Information

AEROBI

Grant agreement ID: 687384

DOI 10.3030/687384

Project closed

EC signature date 10 November 2015

Start date 1 December 2015

End date 30 November 2018

Funded under

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Total cost € 3 584 850,25

EU contribution € 3 080 376,55

Coordinated by

AIRBUS DEFENCE AND SPACE SAS
France

Deliverables

Documents, reports (7)

User Requirements

User requirements

Dissemination of Results
Quality Management plan
Data Management Plan
Dissemination and Communication Activities
Dissemination plan (Draft)

Dissemination plan Draft

Standardisation

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

Websites, patent fillings, videos etc. (2)

Project website
Brochure of the project

Publications

Book chapters (2)

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

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

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

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

Peer reviewed articles (2)

Combining Unmanned Aerial Systems and Sensor Networks for Earth Observation

Author(s): José Martínez-de Dios, Alberto de San Bernabé, Antidio Viguria, Arturo Torres-González, Anibal Ollero
Published in: Remote Sensing, Issue 9/4, 2017, Page(s) 336, ISSN 2072-4292
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs9040336

Robotic System for Inspection by Contact of Bridge Beams Using UAVs

Author(s): Pedro Sanchez-Cuevas, Pablo Ramon-Soria, Begoña Arrue, Anibal Ollero, Guillermo Heredia
Published in: Sensors, Issue 19/2, 2019, Page(s) 305, ISSN 1424-8220
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s19020305

Conference proceedings (6)

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

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

Rethinking Layer-wise Feature Amounts in Convolutional Neural Network Architectures

Author(s): Martin Mundt, Sagnik Majumder, Tobias Weis, Visvanathan Ramesh
Published in: 32nd Conference on Neural Information Processing Systems, Critiquing and Correcting Trends in Machine Learning Workshop, 2018
Publisher: NeurIPS conference

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

Author(s): Martin Mundt, Sagnik Majumder, Sreenivas Murali, Panagiotis Panetsos, Visvanathan Ramesh
Published in: IEEE Conference on Computer Vision and Pattern Recognition: CVPR 2019, 2019
Publisher: IEEE

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

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

Multirotor UAS for bridge inspection by contact using the ceiling effect

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

Aerial manipulator with a compliant arm for bridge inspection

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

Other (1)

Building effective deep neural network architectures one feature at a time

Author(s): Martin Mundt; Tobias Weis; Kishore Konda; Visvanathan Ramesh
Published in: ArXiv pre-print, 2017
Publisher: ArXiv pre-print