Explore the words cloud of the CLASS project. It provides you a very rough idea of what is the project "CLASS" about.
The following table provides information about the project.
Coordinator |
AIRBUS DEFENCE AND SPACE SAS
Organization address contact info |
Coordinator Country | France [FR] |
Project website | http://class.aero |
Total cost | 909˙972 € |
EC max contribution | 909˙972 € (100%) |
Programme |
1. H2020-EU.3.4.7. (SESAR JU) |
Code Call | H2020-SESAR-2016-1 |
Funding Scheme | SESAR-RIA |
Starting year | 2017 |
Duration (year-month-day) | from 2017-06-01 to 2019-05-31 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | AIRBUS DEFENCE AND SPACE SAS | FR (TOULOUSE CEDEX) | coordinator | 369˙985.00 |
2 | UNIFLY | BE (ANTWERPEN DEURNE) | participant | 190˙000.00 |
3 | AVEILLANT LIMITED | UK (CAMBRIDGE) | participant | 125˙000.00 |
4 | ECOLE NATIONALE DE L AVIATION CIVILE | FR (TOULOUSE) | participant | 125˙000.00 |
5 | NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU | NO (TRONDHEIM) | participant | 99˙987.00 |
CLASS will bring the main technologies required for surveillance of Unmanned Aerial Systems (UAS) Traffic at a better level of maturity, allowing developing a pre-operational prototype of a UAS Traffic Management System (UTMS). CLASS will compose existing technologies to build the core functions of a UTMS: • real-time tracking (cooperative and non-cooperative) and display, • aggregation of relevant aeronautical data, • provide adjusted services to each stakeholder (operators, ANSP, Authorities), • advanced functions such as geo-fencing (warn UAS pilot of unauthorised zones trespassing), geo-caging (warn UAS pilot if trespassing a pre-defined zone), conflict detection and resolution. CLASS follows mainly a bottom-up approach starting from technologies up to defining a system meeting users’ operational needs for UAS Traffic Management. CLASS will consider the outcomes of the project awarded for Work Area 1 which focuses on the concept of operation. First, CLASS will assess the performance of cooperative and non-cooperative UAS detection and tracking technologies through live experimentations. Data fusion will be developed to merge data of the same UAS detected by both cooperative and non-cooperative trackers. Secondly, a prototype of a real-time centralized UTMS will be developed. This platform will propose an overall view of both the planned and the current real-time UAS traffic situation. Advanced functions will be implemented. Finally, a demonstrator fed by the real data acquired during the live experimentation, and by a UAS traffic simulator will be built. The outcomes will be evaluated through a series of Key Performance Indicators which will have been derived from the Concept of Operations. All along the project, results will be published and shared to the UAS and the ATM community. Conclusions and recommendations for follow up will be largely disseminated to enable UAS safely operations at large scale for the benefit of the growing UAS business.
Data Fusion: definition and results | Documents, reports | 2019-10-08 17:11:28 |
Conclusion of the CLASS project: Impacts and Recommendations for followup | Documents, reports | 2019-10-08 17:11:24 |
Definition of the cooperative and uncooperative surveillance systems | Documents, reports | 2019-10-08 17:11:23 |
Communication and Dissemination Plan and Report | Documents, reports | 2019-10-08 17:11:23 |
Design document of real time capabilities of UTMS | Documents, reports | 2019-05-31 11:50:18 |
Implementation of De-confliction Advanced Function: definition and results | Documents, reports | 2019-04-04 17:58:27 |
Live Experimentation: Configuration and results | Documents, reports | 2019-04-16 09:26:23 |
\"Proceedings Workshop #2\" | Documents, reports | 2019-04-05 09:53:48 |
Video of the live experimentation | Documents, reports | 2019-04-15 12:22:37 |
Scenarios and KPI for the UTMS Demonstration | Documents, reports | 2019-04-15 08:34:27 |
\"Proceedings Workshop #1\" | Documents, reports | 2019-05-30 15:34:16 |
Take a look to the deliverables list in detail: detailed list of CLASS deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2019 |
Mohammed Jahangir, Chris J Baker CLASS U-space drone test flight results for non-cooperative surveillance using an L-band 3-D staring radar published pages: , ISSN: , DOI: |
2019-08-30 | |
2019 |
K. Cisek, E. Brekke, M. Jahangir, T. A. Johansen Track-to-track data fusion for unmanned traffic management system published pages: , ISSN: , DOI: |
Paper 2614 | 2019-08-30 |
2019 |
Jacob Sim, Chris J Baker, Mohammed Jahangir, Francesco Fioranelli, Holly Dale Effective Ground-Truthing of Supervised Machine Learning for Drone Classification published pages: , ISSN: , DOI: |
2019-08-30 |
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The information about "CLASS" are provided by the European Opendata Portal: CORDIS opendata.