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CORDIS - Resultados de investigaciones de la UE
CORDIS

Autonomous aerial inspection of GNSS-denied and confined critical infrastructures

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Data storage and interface definitions. (se abrirá en una nueva ventana)

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. (se abrirá en una nueva ventana)

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. (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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.

Publicaciones

Deep Visual Odometry with Events and Frames

Autores: Roberto Pellerito, Marco Cannici, Daniel Gehrig, Joris Belhadj, Olivier Dubois-Matra, Massimo Casasco, Davide Scaramuzza
Publicado en: IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
Editor: IEEE

Towards Instance Segmentation-Based Litter Collection with Multi-Rotor Aerial Vehicle (se abrirá en una nueva ventana)

Autores: Filip Zoric, Antonio Franchi, Matko Orsag, Zdenko Kovacic, Chiara Gabellieri
Publicado en: 2024 International Conference on Unmanned Aircraft Systems (ICUAS), 2024
Editor: IEEE
DOI: 10.1109/ICUAS60882.2024.10557120

Uncertainty-Aware Visual-Inertial SLAM with Volumetric Occupancy Mapping

Autores: Jaehyung Jung, Simon Boche, Sebasti´ an Barbas Laina, Stefan Leutenegger
Publicado en: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
Editor: IEEE Robotics and Automation Society

Bootstrapping Reinforcement Learning with Imitation for Vision-Based Agile Flight

Autores: Jiaxu Xing, Angel Romero, Leonard Bauersfeld, Davide Scaramuzza
Publicado en: 2024
Editor: Proceedings of Machine Learning Research (PMLR)

Experimental Validation of Sensitivity-Aware Trajectory Planning for a Quadrotor UAV Under Parametric Uncertainty (se abrirá en una nueva ventana)

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

On the Existence of Static Equilibria of a Cable-Suspended Load with Non-stopping Flying Carriers (se abrirá en una nueva ventana)

Autores: Chiara Gabellieri, Antonio Franchi
Publicado en: 2024 International Conference on Unmanned Aircraft Systems (ICUAS), 2024
Editor: IEEE
DOI: 10.1109/ICUAS60882.2024.10556930

Gain Scheduling Position Control for Fully-Actuated Morphing Multi-Rotor UAVs (se abrirá en una nueva ventana)

Autores: Youssef Aboudorra, Aaron Saini, Antonio Franchi
Publicado en: 2024 International Conference on Unmanned Aircraft Systems (ICUAS), 2024
Editor: IEEE
DOI: 10.1109/ICUAS60882.2024.10557108

Demonstrating Agile Flight from Pixels without State Estimation

Autores: Ismail Geles*, Leonard Bauersfeld*, Angel Romero, Jiaxu Xing, Davide Scaramuzza
Publicado en: 2024
Editor: Robotics: Science and Systems Foundation

An Experimentally Validated Model of the Propeller Force Accounting for Cross Influences on Multi-Rotor Aerial Systems (se abrirá en una nueva ventana)

Autores: Barbara Bazzana, Ralph Brantjes, Chiara Gabellieri, Antonio Franchi
Publicado en: 2024 International Conference on Unmanned Aircraft Systems (ICUAS), 2024
Editor: IEEE
DOI: 10.1109/ICUAS60882.2024.10556890

MPCC++: Model Predictive Contouring Control for Time-Optimal Flight with Safety Constraints (se abrirá en una nueva ventana)

Autores: Maria Krinner, Angel Romero, Leonard Bauersfeld, Melanie Zeilinger, Andrea Carron, Davide Scaramuzza
Publicado en: Robotics: Science and Systems XX, 2024
Editor: Robotics: Science and Systems Foundation
DOI: 10.15607/RSS.2024.XX.109

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

Autores: Jiaxin Wei, Stefan Leutenegger
Publicado en: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
Editor: IEEE Robotics and Automation

Modelling, Analysis, and Control of OmniMorph: an Omnidirectional Morphing Multi-rotor UAV (se abrirá en una nueva ventana)

Autores: Youssef Aboudorra, Chiara Gabellieri, Ralph Brantjes, Quentin Sablé, Antonio Franchi
Publicado en: Journal of Intelligent & Robotic Systems, Edición 110, 2024, ISSN 0921-0296
Editor: Springer Science and Business Media LLC
DOI: 10.1007/s10846-024-02054-x

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