--> --> --> -->

   

  

 

 

 

   

 

 

 

 

 

Frequentis will build a Flight Information Management System (FIMS) / Common Information Service (CIS) based on the Frequentis UTM/ATM mosaiX SWIM platform. 

  


 

  • AnyWi Technology BV

    Development of a system for more reliable communication between drone and ground based on multi-path communication technologies,

    Read More
  • Royal Netherlands Aerospace Centre

    NLR will Focus on the development of (components for) a Detect And Avoid (DAA) system taking

    Read More
  • Internet of Things applications and Multi-Layer development

    ITML will support the design process of user acceptance surveys that will be

    Read More
  • ALTUS - LSA Commercial & Manufacturing SA

    Altus lsa, as a certified training provider for drones, as well as a certified

    Read More
  • CrossControl will perform applied research of situational awareness enablers in the scope of industrial mobile vehicles and onboard control systems,

    Read More
  • Celestia Technologies Group BV (CTG BV) is a Dutch SME, which works in the technological innovations of the Aerospace, Telecommunications

    Read More
  • Researching in the field of communication, respective the automotive research field, OTH-AW is experienced in dealing with mobile, and thus

    Read More
  • Katam is a Swedish company with products that gathers high resolution data to be used in precision forestry. The customers

    Read More
  • Almende actively participate in creating a distributed simulation environment that will speed up the development of new hard and software

    Read More
  • Hardware enabler and horizontal service provider, with regards to security and privacy providing secure and reliable communication from IoT devices

    Read More
  • Lund University will, assisted by Ericsson and Katam, develop high-level algorithms for model building, semantic SLAM, navigation, recognition and interpretation,

    Read More
  • Bauhaus Luftfahrt (BHL) focuses on “Technology verification in the context of UTM”, providing tools and methods toward the development and

    Read More
  • TAU’s role is to develop an end-to-end 5G video streaming solutions for remote piloting of drones and flight investigation. In

    Read More
  • UNIPR will contribute mainly to the design and implementation of robust localization algorithms and robust drone communication systems.

    In particular,

    Read More
  • Nokia’s main role is to develop the video transport, bitrate adaptation and view-dependent streaming technologies for the HEVC encoded 2D

    Read More
  • Robonik Mekatronik Teknolojileri

    We are working for the sUAS (drone) and tethered drone technologies for a while. With the technological

    Read More
  • Infineon Technologies Italia(IFI) aims at development of PMICs suitable for usage in the target drone architecture of ADACORSA, in particular

    Read More
  • TUBITAK will particularly focus on AI based control and path planning requirements for drones and vehicles. TUBITAK will also focus

    Read More
  • Ford Otomotive Sanayi a.s

    We are aiming for faster and safer constructions to be possible by more efficient use of

    Read More
  • Turkish Aerospace (TAI) will design, produce and provide drones for the project. TAI will contribute to test and validation of

    Read More
  • Main role of Turkcell in ADACORSA project is that develop 5G-LTE flying base stations which aims to provide seamless 5G

    Read More
  • Airholding - Embraer RT Europe

    EMBRAER will manage the requirements WP using a MBSE approach. It will coordinate the requirements elicitation

    Read More
  • Büyütech develops and manufactures high-quality and optimized camera-based ADAS solutions with 10+ years of experience in camera and camera-related technologies.

    Read More
  • MB will lead WP7, organising and collating the project’s dissemination, communication, exploitation, and stakeholder engagement activities. Metis Baltic will use

    Read More
  • Instituto Superior de Engenharia do Porto

    ISEP will contribute with a safe and secure handover mechanism between drone control stations

    Read More
  • Infineon Technologies Austria AG

    IFAT ATV SC is working on the sensors for environment perception, in particular the LiDAR sensor

    Read More
  • TTTech Computertechnik AG


    The main goal of TTTech in the ADACORSA project is to research into the topic of safety

    Read More
  • FHRs main task will be the design of the transmitter circuits of the radar sensor in Infineon’s automotive radar technology

    Read More
  • Giesecke + Devrient Mobile Security GmbH

    GD will develop new concepts to enable reliable and secure communication of drones and to

    Read More
  • Consorzio Interuniversitario per la Nanoelettronica

    IUNET will design, manufacture and test custom antenna systems for radar sensors and communications and

    Read More
  • Frequentis will build a Flight Information Management System (FIMS) / Common Information Service (CIS) based on the Frequentis UTM/ATM mosaiX SWIM

    Read More
  • Human-Factors-Consult GmbH

    The Role of HFC in ADACORSA will be:


    • Conduct user research and define human factors related requirements,

    • Investigate

    Read More
  • HUA will participate mainly in cognitive and AI-enabled decision making functionalities for various types of BVLOS services for highly automated

    Read More
  • TUD will collaborate closely with various partners, including VIF and NLR, and focus on developing novelalgorithms for detect-and-avoid for single-drone

    Read More
  • VIF will evaluate the comparative strengths and weaknesses of different drone sensor modalities for sensor fusion. Different sensor sets and

    Read More
  • SYSGO will develop a prototype for a partitioning operating system with ARINC 653 API (e.g. part 4) and a prototype

    Read More
  • Our main task is to develop guidelines and processes for approval of drones and operations as well as to analyse

    Read More
  • UBW will, in cooperation with SYR and ALM, contribute to the definition, development, implementation and evaluation of a purely algorithmic

    Read More

  • As a partner, AVIONTEK is exceptionally well qualified to contribute to ADACORSA, as it will use current and previous experience

    Read More
  • CEA - Commissariat a l'Energie Atomique et aux Energies Alternatives

    CEA provides scientific expertise in blockchain-based solutions and, development and simulation

    Read More
  • Our solution will enable UASs to fly highly automated and autonomously and enables BVLOS flights in future UAS traffic management

    Read More
  • Ericsson will develop an efficient on-board computing platform including an hardware accelerator for machine learning and other tasks needed to

    Read More
  • Supply knowhow and technology for electronics subsystems exhibiting strong safety and security design-enablement and features

    Read More
  • IFAG will be the coordinator of the whole ADACORSA project, leveraging on a huge coordinating experience spanning across many years

    Read More
  • RUBs main task will be the design of the transceiver circuits of the radar sensor using Infineon’s automotive radar technology

    Read More
  • AVU is involved with integration of electronic components that enable environmental perception on the drone, as well as development and

    Read More
  • TUG will tightly collaborate with its industry partner Infineon Technologies Austria AG (IFAT). TUG focuseson the complete engineering process, troughout

    Read More
  • Within the ADACORSA-project Technolution will contribute to the development of verifiably safe and secure drone control systems, working closely in

    Read More
  • In ADACORSA, Klagenfurt University (Sensors and Actuators Lab, Institute of Smart Systems Technologies) will focus on concepts for and 3D

    Read More
  • Innatera Nanosystems B.V.

    Innatera is involved in developing computing platforms for on-board sensor data processing, within a narrow power and

    Read More

Acknowledgement

ADACORSA has received funding from the ECSEL Joint Undertaking (JU) under grant agreement No 876019.
The JU receives support from the European Union’s Horizon 2020 research and innovation programme and Germany, Netherlands, Austria, France, Sweden, Cyprus, Greece, Lithuania, Portugal, Italy, Finland, Turkey.