Explore the words cloud of the SafeClouds.eu project. It provides you a very rough idea of what is the project "SafeClouds.eu" about.
The following table provides information about the project.
Coordinator |
FUNDACION INSTITUTO DE INVESTIGACION INNAXIS
Organization address contact info |
Coordinator Country | Spain [ES] |
Project website | http://www.safeclouds.eu |
Total cost | 5˙576˙288 € |
EC max contribution | 5˙576˙288 € (100%) |
Programme |
1. H2020-EU.3.4. (SOCIETAL CHALLENGES - Smart, Green And Integrated Transport) |
Code Call | H2020-MG-2016-SingleStage-INEA |
Funding Scheme | RIA |
Starting year | 2016 |
Duration (year-month-day) | from 2016-10-01 to 2019-09-30 |
Take a look of project's partnership.
SafeClouds is a research project supported by EASA and powered by a full spectrum of aviation stakeholders (Airlines, Airports, ANSPs, Eurocontrol, Research Entities, Safety Agencies) that develops cutting-edge technologies for aviation safety assurance in a cost-effective manner. SafeClouds proposes a data-driven approach to achieve a deeper understanding of the dynamics of the system, where risks are pro-actively identified and mitigated in a continuous effort to enhance the already excellent European aviation safety records.
SafeClouds develops an innovative aviation safety data analysis approach. Currently each stakeholder owns different isolated datasets and data-sharing paradigms are rare. However, the combination of those datasets is critical in discovering unknown safety hazards and in understanding and defining a performance-based system safety concept. The new data-driven paradigm, capable of extracting safety intelligence in a fast, connected and inexpensive way requires the collaboration of aviation and IT entities sharing their raw datasets, tools, techniques and information.
SafeClouds high level objectives are:
- To define a user-requirement driven approach for data mining in aviation safety, covering several current safety challenges within airlines and runway operations. - To develop novel data structures and safety intelligence representation. Given the complexity of the datasets, SafeClouds aims to solve their current challenges in data handling and knowledge discovery. - To develop the proof of concept and validate in a laboratory the safety data analysis paradigms, at different levels: historical analysis, predictive analytics, automatic safety data monitoring and unknown hazards identification. - To assemble a group of entities that encompasses the entire data-cycle for a unified, achievable vision for the future of safety analytics in Europe, including: users, data providers, data infrastructure researchers, operators and data scientists.
Regulation and Certification | Documents, reports | 2020-02-12 12:28:52 |
SafeOps Laboratory Validation | Documents, reports | 2020-02-12 12:28:54 |
Visualisation and user experience | Documents, reports | 2020-02-12 12:28:55 |
SafeRunway Laboratory Validation | Documents, reports | 2020-02-12 12:28:52 |
Large Scale Infrastructure v1 development | Documents, reports | 2020-02-12 12:28:51 |
Final Results Assessment | Documents, reports | 2020-02-12 12:28:55 |
Predictive analytics and identification of unknown hazards | Documents, reports | 2020-02-12 12:28:53 |
Historical Analysis through descriptive analytics | Documents, reports | 2020-02-12 12:28:52 |
Project website | Websites, patent fillings, videos etc. | 2019-11-18 11:25:23 |
Information representation | Documents, reports | 2019-11-18 11:25:23 |
Supporting techniques for knowledge discovery | Documents, reports | 2019-11-18 11:25:23 |
Data preparation | Documents, reports | 2019-11-18 11:25:23 |
Large Scale Infrastructure v0 development | Documents, reports | 2019-11-18 11:25:23 |
Take a look to the deliverables list in detail: detailed list of SafeClouds.eu deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2019 |
Antonio Fernández Llamas, DarÃo MartÃnez Romero, Pablo Hernández Fish, Samuel Cristobal, Florian Schwaiger, José MarÃa Nuñez, José Manuel Ruiz Flight Data Monitoring (FDM) unknown hazards detection using AutoEncoders published pages: , ISSN: , DOI: |
SESAR INNOVATION DAYS | 2019-12-16 |
2019 |
Antonio Fernández Llamas, DarÃo MartÃnez Romero, Pablo Hernández Fish, Samuel Cristobal, Florian Schwaiger, José MarÃa Nuñez, José Manuel Ruiz Forecasting Unstable Approaches with boosting frameworks and LSTM networks published pages: , ISSN: , DOI: |
SESAR INNOVATION DAYS | 2019-12-16 |
2019 |
Floris Herrema & Mohamed Ellejmi Validation of the Runway Utilisation concept at Vienna airport published pages: , ISSN: , DOI: |
SESAR INNOVATION DAYS | 2019-12-16 |
2018 |
Dario Martinez (Innaxis), Seddik Belkoura (Innaxis) and Samuel Cristobal (Innaxis), Floris Herrema (Delft University of Technology) Philipp Wachter (Austro Control) A Boosted Tree Framework for Runway Occupancy and Exit Prediction published pages: , ISSN: , DOI: |
SESAR INNOVATION DAYS | 2019-12-16 |
2018 |
Javensius Sembiring, Changwu Liu, Phillip Koppitz, Florian Holzapfel Energy Management for Unstable Approach Detection published pages: , ISSN: , DOI: |
2019-11-26 | |
2019 |
Floris Herrema & Mohamed Ellejmi Validation of the Runway Utilisation concept at Vienna airport published pages: , ISSN: , DOI: |
2019-11-26 | |
2018 |
Javensius Sembiring, Joachim Siegel, Florian Holzapfel Parameter Estimation on Low Observability Data published pages: , ISSN: , DOI: |
2019-11-26 | |
2018 |
Dario Martinez (Innaxis), Samuel Cristobal (Innaxis) and Seddik Belkoura (Innaxis) Smart Data Fusion: Probabilistic Record Linkage adapted to Merge Two Trajectories from Different Sources published pages: , ISSN: , DOI: |
2019-11-26 |
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The information about "SAFECLOUDS.EU" are provided by the European Opendata Portal: CORDIS opendata.