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CORDIS - Risultati della ricerca dell’UE
CORDIS

Autonomous aerial inspection of GNSS-denied and confined critical infrastructures

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

Data storage and interface definitions. (si apre in una nuova finestra)

Data formats and message types to collect the various sensor measurements from different platforms need to be defined. This includes results from on-board processing (see WP 4), e.g., visual associations, real-time estimation results useful for initialization, and whole factor graphs that may be re-used for later joint optimization.

Plan and Report for DCE of Results. (si apre in una nuova finestra)

The exploitation plan is described in WP10 (D10.1) to be delivered by M6, and involves: 1) the IPR management strategy where the Plan for Exploitation and Dissemination of the Project Results (PEDR) will be articulated; 2) the identification of background, sideground, and foreground IPR where all consortium partners identify their exploitation intentions regarding patents, licensing trade agreements, consultancy services and others; and 3) informing the partners of potential IP strategies and assist in identifying the most suitable IP protection mechanism.

Definition of UI-DSS Digital Twin Map Server interfaces. (si apre in una nuova finestra)

Mission data is pushed by the EUAS, IUAS and TIUAS, and pulled to support inspection planning and navigation. For robot missions, we will transfer detailed geometric LiDAR maps, visual images, and NDT measurement to the UI-DSS and pull mapping data for prior localizability and inspection planning. This deliverable constitutes the formal definition of the aforementioned interfaces

AUTOASSESS Data Management Plan (si apre in una nuova finestra)

One of the first deliverables of the AUTOASSESS project will be a detailed Data Management Plan (DMP) in line with Findable, Accessible, Interoperable, and Reusable FAIR principles by Month 6 that includes the following elements: 1) types of data and research outputs; 2) findability of data and research outputs; 3) accessibility of data and research outputs; 4) interoperability; 5) reusability; and curation/storage costs.

Pubblicazioni

Deep Visual Odometry with Events and Frames

Autori: Roberto Pellerito, Marco Cannici, Daniel Gehrig, Joris Belhadj, Olivier Dubois-Matra, Massimo Casasco, Davide Scaramuzza
Pubblicato in: IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
Editore: IEEE

Towards Instance Segmentation-Based Litter Collection with Multi-Rotor Aerial Vehicle (si apre in una nuova finestra)

Autori: Filip Zoric, Antonio Franchi, Matko Orsag, Zdenko Kovacic, Chiara Gabellieri
Pubblicato in: 2024 International Conference on Unmanned Aircraft Systems (ICUAS), 2024
Editore: IEEE
DOI: 10.1109/ICUAS60882.2024.10557120

Uncertainty-Aware Visual-Inertial SLAM with Volumetric Occupancy Mapping

Autori: Jaehyung Jung, Simon Boche, Sebasti´ an Barbas Laina, Stefan Leutenegger
Pubblicato in: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
Editore: IEEE Robotics and Automation Society

Bootstrapping Reinforcement Learning with Imitation for Vision-Based Agile Flight

Autori: Jiaxu Xing, Angel Romero, Leonard Bauersfeld, Davide Scaramuzza
Pubblicato in: 2024
Editore: Proceedings of Machine Learning Research (PMLR)

Experimental Validation of Sensitivity-Aware Trajectory Planning for a Quadrotor UAV Under Parametric Uncertainty (si apre in una nuova finestra)

Autori: Ali Srour, Salvatore Marcellini, Tommaso Belvedere, Marco Cognetti, Antonio Franchi, Paolo Robuffo Giordano
Pubblicato in: 2024 International Conference on Unmanned Aircraft Systems (ICUAS), 2024
Editore: IEEE
DOI: 10.1109/ICUAS60882.2024.10556958

On the Existence of Static Equilibria of a Cable-Suspended Load with Non-stopping Flying Carriers (si apre in una nuova finestra)

Autori: Chiara Gabellieri, Antonio Franchi
Pubblicato in: 2024 International Conference on Unmanned Aircraft Systems (ICUAS), 2024
Editore: IEEE
DOI: 10.1109/ICUAS60882.2024.10556930

Gain Scheduling Position Control for Fully-Actuated Morphing Multi-Rotor UAVs (si apre in una nuova finestra)

Autori: Youssef Aboudorra, Aaron Saini, Antonio Franchi
Pubblicato in: 2024 International Conference on Unmanned Aircraft Systems (ICUAS), 2024
Editore: IEEE
DOI: 10.1109/ICUAS60882.2024.10557108

Demonstrating Agile Flight from Pixels without State Estimation

Autori: Ismail Geles*, Leonard Bauersfeld*, Angel Romero, Jiaxu Xing, Davide Scaramuzza
Pubblicato in: 2024
Editore: Robotics: Science and Systems Foundation

An Experimentally Validated Model of the Propeller Force Accounting for Cross Influences on Multi-Rotor Aerial Systems (si apre in una nuova finestra)

Autori: Barbara Bazzana, Ralph Brantjes, Chiara Gabellieri, Antonio Franchi
Pubblicato in: 2024 International Conference on Unmanned Aircraft Systems (ICUAS), 2024
Editore: IEEE
DOI: 10.1109/ICUAS60882.2024.10556890

MPCC++: Model Predictive Contouring Control for Time-Optimal Flight with Safety Constraints (si apre in una nuova finestra)

Autori: Maria Krinner, Angel Romero, Leonard Bauersfeld, Melanie Zeilinger, Andrea Carron, Davide Scaramuzza
Pubblicato in: Robotics: Science and Systems XX, 2024
Editore: Robotics: Science and Systems Foundation
DOI: 10.15607/RSS.2024.XX.109

GSFusion: Online RGB-D Mapping Where Gaussian Splatting Meets TSDF Fusion

Autori: Jiaxin Wei, Stefan Leutenegger
Pubblicato in: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
Editore: IEEE Robotics and Automation

Modelling, Analysis, and Control of OmniMorph: an Omnidirectional Morphing Multi-rotor UAV (si apre in una nuova finestra)

Autori: Youssef Aboudorra, Chiara Gabellieri, Ralph Brantjes, Quentin Sablé, Antonio Franchi
Pubblicato in: Journal of Intelligent & Robotic Systems, Numero 110, 2024, ISSN 0921-0296
Editore: Springer Science and Business Media LLC
DOI: 10.1007/s10846-024-02054-x

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