AErial RObotic System for In-Depth Bridge Inspection by Contact

Informazioni relative al progetto

AEROBI

ID dell’accordo di sovvenzione: 687384

DOI 10.3030/687384

Progetto chiuso

Data della firma CE 10 Novembre 2015

Data di avvio 1 Dicembre 2015

Data di completamento 30 Novembre 2018

Finanziato da

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

Costo totale € 3 584 850,25

Contributo UE € 3 080 376,55

Coordinato da

AIRBUS DEFENCE AND SPACE SAS
France

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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

Pubblicazioni

Book chapters (2)

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

Autori: P. J. Sanchez-Cuevas, Guillermo Heredia, Anibal Ollero
Pubblicato in: ROBOT 2017: Third Iberian Robotics Conference, Numero 693, 2018, Pagina/e 742-752, ISBN 978-3-319-70832-4
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-70833-1_60

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

Autori: Javier Prada Delgado, Pablo Ramon Soria, B. C. Arrue, A. Ollero
Pubblicato in: ROBOT 2017: Third Iberian Robotics Conference, Numero 694, 2018, Pagina/e 309-319, ISBN 978-3-319-70835-5
Editore: 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

Autori: José Martínez-de Dios, Alberto de San Bernabé, Antidio Viguria, Arturo Torres-González, Anibal Ollero
Pubblicato in: Remote Sensing, Numero 9/4, 2017, Pagina/e 336, ISSN 2072-4292
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs9040336

Robotic System for Inspection by Contact of Bridge Beams Using UAVs

Autori: Pedro Sanchez-Cuevas, Pablo Ramon-Soria, Begoña Arrue, Anibal Ollero, Guillermo Heredia
Pubblicato in: Sensors, Numero 19/2, 2019, Pagina/e 305, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s19020305

Conference proceedings (6)

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

Autori: J.L. Paneque, J.R. Martinez-Dedios, A. Ollero
Pubblicato in: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018, Pagina/e 3130-3136, ISBN 978-1-5386-8094-0
Editore: IEEE
DOI: 10.1109/IROS.2018.8593680

Rethinking Layer-wise Feature Amounts in Convolutional Neural Network Architectures

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

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

Autori: Martin Mundt, Sagnik Majumder, Sreenivas Murali, Panagiotis Panetsos, Visvanathan Ramesh
Pubblicato in: IEEE Conference on Computer Vision and Pattern Recognition: CVPR 2019, 2019
Editore: IEEE

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

Autori: Diego Marini, Luca Belsito, Fulvio Mancarella, Filippo Bonafe, Alberto Roncaglia
Pubblicato in: 2017 IEEE SENSORS, 2017, Pagina/e 1-3, ISBN 978-1-5090-1012-7
Editore: IEEE
DOI: 10.1109/icsens.2017.8234130

Multirotor UAS for bridge inspection by contact using the ceiling effect

Autori: P. J. Sanchez-Cuevas, G. Heredia, A. Ollero
Pubblicato in: 2017 International Conference on Unmanned Aircraft Systems (ICUAS), 2017, Pagina/e 767-774, ISBN 978-1-5090-4495-5
Editore: IEEE
DOI: 10.1109/icuas.2017.7991412

Aerial manipulator with a compliant arm for bridge inspection

Autori: A.E Jimenez-Cano, G. Heredia, A. Ollero
Pubblicato in: 2017 International Conference on Unmanned Aircraft Systems (ICUAS), 2017, Pagina/e 1217-1222, ISBN 978-1-5090-4495-5
Editore: IEEE
DOI: 10.1109/icuas.2017.7991458

Other (1)

Building effective deep neural network architectures one feature at a time

Autori: Martin Mundt; Tobias Weis; Kishore Konda; Visvanathan Ramesh
Pubblicato in: ArXiv pre-print, 2017
Editore: ArXiv pre-print