Autonomous aerial inspection of GNSS-denied and confined critical infrastructures

Projektinformationen

AUTOASSESS

ID Finanzhilfevereinbarung: 101120732

DOI

10.3030/101120732

EK-Unterschriftsdatum 29 Juni 2023

Startdatum 1 Oktober 2023

Enddatum 30 September 2027

Finanziert unter

• Digital, Industry and Space

Gesamtkosten

€ 10 061 182,50

EU-Beitrag

€ 8 990 161,50

Koordiniert durch

DANMARKS TEKNISKE UNIVERSITET
Denmark

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

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.

Veröffentlichungen

Conference proceedings (11)

Deep Visual Odometry with Events and Frames

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

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

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

Uncertainty-Aware Visual-Inertial SLAM with Volumetric Occupancy Mapping

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

Bootstrapping Reinforcement Learning with Imitation for Vision-Based Agile Flight

Autoren: Jiaxu Xing, Angel Romero, Leonard Bauersfeld, Davide Scaramuzza
Veröffentlicht in: 2024
Herausgeber: Proceedings of Machine Learning Research (PMLR)

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

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

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

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

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

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

Demonstrating Agile Flight from Pixels without State Estimation

Autoren: Ismail Geles*, Leonard Bauersfeld*, Angel Romero, Jiaxu Xing, Davide Scaramuzza
Veröffentlicht in: 2024
Herausgeber: Robotics: Science and Systems Foundation

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

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

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

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

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

Autoren: Jiaxin Wei, Stefan Leutenegger
Veröffentlicht in: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
Herausgeber: IEEE Robotics and Automation

Peer reviewed articles (1)

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

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