Autonomous aerial inspection of GNSS-denied and confined critical infrastructures

Informations projet

AUTOASSESS

N° de convention de subvention: 101120732

DOI

10.3030/101120732

Date de signature de la CE 29 Juin 2023

Date de début 1 Octobre 2023

Date de fin 30 Septembre 2027

Financé au titre de

• Digital, Industry and Space

Coût total

€ 10 061 182,50

Contribution de l’UE

€ 8 990 161,50

Coordonné par

DANMARKS TEKNISKE UNIVERSITET
Denmark

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (3)

Data storage and interface definitions.

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.

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.

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

Data Management Plan (1)

AUTOASSESS Data Management Plan

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.

Publications

Conference proceedings (11)

Deep Visual Odometry with Events and Frames

Auteurs: Roberto Pellerito, Marco Cannici, Daniel Gehrig, Joris Belhadj, Olivier Dubois-Matra, Massimo Casasco, Davide Scaramuzza
Publié dans: IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
Éditeur: IEEE

Towards Instance Segmentation-Based Litter Collection with Multi-Rotor Aerial Vehicle

Auteurs: Filip Zoric, Antonio Franchi, Matko Orsag, Zdenko Kovacic, Chiara Gabellieri
Publié dans: 2024 International Conference on Unmanned Aircraft Systems (ICUAS), 2024
Éditeur: IEEE
DOI: 10.1109/ICUAS60882.2024.10557120

Uncertainty-Aware Visual-Inertial SLAM with Volumetric Occupancy Mapping

Auteurs: Jaehyung Jung, Simon Boche, Sebasti´ an Barbas Laina, Stefan Leutenegger
Publié dans: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
Éditeur: IEEE Robotics and Automation Society

Bootstrapping Reinforcement Learning with Imitation for Vision-Based Agile Flight

Auteurs: Jiaxu Xing, Angel Romero, Leonard Bauersfeld, Davide Scaramuzza
Publié dans: 2024
Éditeur: Proceedings of Machine Learning Research (PMLR)

Experimental Validation of Sensitivity-Aware Trajectory Planning for a Quadrotor UAV Under Parametric Uncertainty

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

On the Existence of Static Equilibria of a Cable-Suspended Load with Non-stopping Flying Carriers

Auteurs: Chiara Gabellieri, Antonio Franchi
Publié dans: 2024 International Conference on Unmanned Aircraft Systems (ICUAS), 2024
Éditeur: IEEE
DOI: 10.1109/ICUAS60882.2024.10556930

Gain Scheduling Position Control for Fully-Actuated Morphing Multi-Rotor UAVs

Auteurs: Youssef Aboudorra, Aaron Saini, Antonio Franchi
Publié dans: 2024 International Conference on Unmanned Aircraft Systems (ICUAS), 2024
Éditeur: IEEE
DOI: 10.1109/ICUAS60882.2024.10557108

Demonstrating Agile Flight from Pixels without State Estimation

Auteurs: Ismail Geles*, Leonard Bauersfeld*, Angel Romero, Jiaxu Xing, Davide Scaramuzza
Publié dans: 2024
Éditeur: Robotics: Science and Systems Foundation

An Experimentally Validated Model of the Propeller Force Accounting for Cross Influences on Multi-Rotor Aerial Systems

Auteurs: Barbara Bazzana, Ralph Brantjes, Chiara Gabellieri, Antonio Franchi
Publié dans: 2024 International Conference on Unmanned Aircraft Systems (ICUAS), 2024
Éditeur: IEEE
DOI: 10.1109/ICUAS60882.2024.10556890

MPCC++: Model Predictive Contouring Control for Time-Optimal Flight with Safety Constraints

Auteurs: Maria Krinner, Angel Romero, Leonard Bauersfeld, Melanie Zeilinger, Andrea Carron, Davide Scaramuzza
Publié dans: Robotics: Science and Systems XX, 2024
Éditeur: Robotics: Science and Systems Foundation
DOI: 10.15607/RSS.2024.XX.109

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

Auteurs: Jiaxin Wei, Stefan Leutenegger
Publié dans: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
Éditeur: IEEE Robotics and Automation

Peer reviewed articles (1)

Modelling, Analysis, and Control of OmniMorph: an Omnidirectional Morphing Multi-rotor UAV

Auteurs: Youssef Aboudorra, Chiara Gabellieri, Ralph Brantjes, Quentin Sablé, Antonio Franchi
Publié dans: Journal of Intelligent & Robotic Systems, Numéro 110, 2024, ISSN 0921-0296
Éditeur: Springer Science and Business Media LLC
DOI: 10.1007/s10846-024-02054-x