The Adacorsa Project


Project vision

Provide European technology to render drones as a safe and efficient component of the mobility mix, with differentiated, safe and reliable capabilities in extended beyond visual line of sight (BVLOS) operations.
To reach the vision, the available technologies will be explored. This includes the option of transferring and extend automotive sense and control technologies, as well as commercial off-the-shelf communication technologies, applying innovative security features to reach adequate safety levels for modern unmanned aviation.


Project mission

  • Develop technologies for operations beyond visual line-of-sight
  • Regulatory framework: EASA Specific Operations Risk Assessment (SORA)
  • Develop technologies that contribute to increased trust in civilian drone operations
  • Higher reliability of data and communications increase trust
  • Increased trackability of drones and transparency of operations
  • Bring relevant automotive technology to the drone industry
  • Cost-effective and tested on ground
  • Leverage European primacy in automotive technologies and strengthen industry’s capability in cross-domain technologies

Supplychains and leading partners

Infineon Technologies AG

IFAG will be the coordinator of the whole ADACORSAproject, leveraging on a huge coordinating experience spanning across many years and multi-million funded projects. Therefore, IFAG will lead WP8 of the project.Additionally, IFAG will take part in several areas within ADACORSA, such as:

Adaptation and transfer of automotive (μC and AI) approaches to highly automated drones

Very long-range radar for highly automated drones

Security and reliability (eSIM) for highly automated drones.

Last, IFAG is contributing to the overall project dissemination and communication, as well as standardization and exploitation activities

Ruhr Universität Bochum





RUBs main task will be the design of the transceiver circuits of the radar sensor using Infineon’s automotive radar technology B11HFC. RUB will also assist and support to discuss the requirements and system concept.

Infineon Technologies Austria AG

IFAT ATV SC is working on the sensors for environment perception, in particular the LiDAR sensor and the 3D imager. This also includes concepts for functional safety of the sensors. IFAT ATV SC is responsible for the development of the electronic components.IFAT DSS is contributing with its expertise on hardware security ICs, especially security ICs supporting the platform security (like TPMs) and secure communication channels. In doing so, IFAT DSS will work on secure platforms and communication and in particular the use of eSIMs/eUICCs for secure communication, secure drone identification and registration. IFAT PSS with their extensive experience in the development of drone platforms will work on secure and reliablehardware architectures based on the DIMA concept combined with fail-operational design.

TTTech Computertechnik AG



The main goal of TTTech in the ADACORSA project is to research into the topic of safety and performance of drone control systems; design optimized avionics interface concepts to support future drone applications with different mixed-criticality  data communication. TTTech will participate in the definition of requirements to a SWaP-optimized computing platform and its HW/SW architectures.

The prototypical implementation of the platform will be based on Deterministic Ethernet backbone to realize a fail-operational drone avionics network. The main tasks of TTTech are related to  System design concepts of the HW/SW architectures and their interfaces.

CISC Semiconductor GmbH



Hardware enabler and horizontal service provider, with regards to security and privacy providing secure and reliable communication from IoT devices to cloud environments via gateway devices (end-to-end security). We will define and propose a gateway reference architecture capable of efficiently supporting the development of applications in smart domains and across domains (mobility, energy, buildings, smart cities, etc.) in service ecosystems that are open, scalable and expandable. The gateway is at the core of these IoT/CPS applications that allows the user to interact with other edge devices. Therefore, CISC will primary take part in secure communication and identification of the drone and/or the user (maintenance).

Lund University

Lund University will, assisted by Ericsson andKatam, develop high-level algorithms for model building, semantic SLAM, navigation,recognition and interpretation, based ondifferent sensor modalities, but primarily based on image data.One focus will beon developing semantic algorithms for SLAM using representation learning. Representation learning deals with a wide variety of classification problems that can be used in SLAM to classify real-world objects from sensor data. Furthermore, the classification canbe used to create geometric models of the environment. Specifically,using semi-supervised algorithms, e.g. neural networks, clustering, dictionary learning, we will create semantic maps in a SLAM framework. Learning can be used for object classification,understandingobject properties, depth perception, and more.Exploiting semantic map information can improve the SLAM performance, for example finding for drone trajectory with increased accuracy and robustness.

Katam Technologies AB



Katam is a Swedish company with products that gathers high resolution data to be used in precision forestry. The customers are booth large companies and individual forest owners. Internationally market demands Katams products as they solves the problem with many countries lacks free remote sensing data.Katams role is to supply relevant product requirements to ERI & LU for the project and to secure that project deliverables meet relevant market needs that can be converted into commercial solutions.

Almende B.V.

Almende actively participate in creating a distributed simulation environment that will speed up the development of new hard and software solutions by offering in-the-loop testing. Additionally, Almende will research the individual behaviour of drones that is preferable in low altitude high traffic areas to optimize overall safety and efficiency.

Celestia Technologies Group B.V.

Celestia Technologies Group BV (CTG BV) is a Dutch SME, which works in the technological innovations of the Aerospace, Telecommunications and Scientific sectors. The main background and expertise of the company includes on-board UAV electronics and datalinks, antenna measurement systems, electromechanical positioners, microelectronics, beamforming technologies, signal processing, ground stations and systems. It is the company holding for Celestia Technologies Group. The Group is composed of 15 high technology SME companies located in several European contries, and based on innovation, and development of high technology products, as key factors to a steady growth.

During ADACORSA project, CTG BV will develop an aerial unmanned vehicles transponder based on technologies for common aviation: ADS-B, Mode S interrogator. In this way, this mini transponder will be compatible with currrent air traffic control systems providing accurate positioning and identification of the platform. Positioning will be based on signal correction by EGNOS and will allow all airspace users to know vehicle location, contributing to safety and serving as support for other onboard systems as detect&avoid equipment.

OTH Amberg-Weiden


Researching in the field of communication, respective the automotive research field, OTH-AW is experienced in dealing with mobile, and thus unreliable communication channels, such as LTE/LTE-A. Whereas C-V2N (cellular vehicle-to -network) communication mainly covers two dimensions, C-D2N increases the complexity by the altitude. Thereby, OTH-AW expects not only to input their automotive knowledge to the drone field, but also presumes to reflect new experiences made in the ADACORSAproject back to it, creating a win-win situation for the partners’ as well as for internal interests. Thus, OTH will contribute together with AnyWi, NXP, and G&D examining the “Security and reliability of communication and identification of drones and operators”.

ALTUS LSA Commercial & Manufacturing SA

Altus lsa, as a certified training provider for drones, as well as a certified designer, developer and integrator in multiples types of UAV and drone platforms (multicopters, fixed wings etc.) will contribute in all phases of the project deployment based on its expertise.

CrossControl Oy


CrossControl will perform applied research of situational awareness enablers in the scope of industrial mobile vehicles and onboard control systems, with the general target of downstream utilization of technologies addressed in the drone demonstrators.

NXP Semiconductors NV


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

Internet of Things applications and Multi-Layer development

Partner’s main tasks, with an explanation of how its profile matches the tasks in the proposal. Indicate in which SC, WP and Tasks partner is involved.

esc Aerospace GmbH



Our solution will enable UASs to fly highly automated and autonomously and enables BVLOS flights in future UAS traffic management systems (UTM). We will provide technology that determines the position of a drone down to centimetre accuracy and in GNSS challenged or denied environments and report the location reliably by leveraging a mix of communication channels including SATCOM. Our avionics will control the flight and manage sensors of our partners and use their data for flight management.

Ericsson AB


Ericsson will develop an efficient on-board computing platform including an hardware accelerator for machine learning and other tasks needed to derive a 3D representation of the world around a drone. Ericsson will also develop the low-level software needed by the accelerator. The hardware part of the platform will be in the form of simulated hardware. Ericsson will also engage in setting requirements on both the accelerator and software using the accelerator.

Graz University of Technology



TUG will tightly collaborate with its industry partner Infineon Technologies Austria AG (IFAT). TUG focuseson the complete engineering process, troughout the whole supply chain and the ensuring of safety by design approaches in all steps and interactions. We will also perform evaluations of the development process and apply methodologies for dependable runtimeadaptive systems.The main tasks of TUG are based on their expertise in the design of safe/dependable architectures. 


CEA provides scientific expertise in blockchain-based solutions and, development and simulation of such solutions. This profile overlaps with the following tasks of ADACORSA: trusted interpretation of data, secure authentication and identification of BVLOS drones and technical verification in the context of UTM.

Universität Klagenfurt


In ADACORSA, Klagenfurt University (Sensors and Actuators Lab, Institute of Smart Systems Technologies) will focus on concepts for and 3D calibration of LIDAR sensor systems and the suppression of adverse effects in close collaboration with partner IFAT and will thus contribute based on the expertise in model based signal processing, sensor system simulation and calibration.

Technolution B.V.

Within the ADACORSA-project Technolution will contribute to the development of verifiably safe and secure drone control systems, working closely in conjunction with a number of other partners. It will develop the technology to verify that the current configuration of the drone is exactly as specified, has not been modified and does not exhibit faults. Further, it will contribute to the development of technology for conveying that information from the drone to other elements of the wider system such as other drones or ground stations.

Bundeswehr University Munich


UBW will, in cooperation with SYR and ALM, contribute to the definition, development, implementation and evaluation of a purely algorithmic "safety layer" that is to work on top of any available on-board functionality and guarantees safety of the vehicle independently of the functioning, the performance or even the brand of many complex on-board systems such as communication units and motion planners. The main tasks of UBW, where the focus is research on computationally efficient and formally guaranteed motion prediction algorithms based on reachable sets and tubes as well as on conflict resolution through solving suitable reach-avoid control problems to provide formal safety guarantees for the UAV.

Aviontek GmbH

As a partner, AVIONTEK is exceptionally well qualified to contribute to ADACORSA, as it will use current and previous experience in commercial, as well as research and development projects to manage and ensure the accomplishment of several ADACORSAtasks. Available technologies from AvionTek, such as 2D and 3D aviation navigation viamoving mapping & 3D tunnel functionalities based on real-time calculations & advanced synthetic vision close to real vision, will be further developed and prepared for integration into ADACORSA, whereas Aviontek will contribute to the enhancement of highly automated drone components with cognitive capabilities, mostly in the perception and control domains.

Sysgo GmbH

SYSGO will develop a prototype for a partitioning operating system with ARINC 653 API (e.g. part 4) and a prototype for a IDE/configuration environment. The development board is the AURIX SoC with TriCore CPU. The prototype will be designed and developed in the context of DO-178C certification. SYSGO will work with TTTech on defining suitable API to integrate the TTTech network driver and stack.

Syrphus GmbH



Our main task is to develop guidelines and processes for approval of drones and operations as well as to analyse National and European regulations. Due to your expertise applying for BVLOS flightswe are involved in a Supply Chain.

Technische Universiteit Delft

TUD will collaborate closely with various partners, including VIF and NLR, and focus on developing novelalgorithms for detect-and-avoid for single-drone systems, and for drone landing. In addition, TUD will focus on developing sensor fusion algorithms forcombining data from various on-board sensors. We would also assist in evaluations and demonstrators across the project. 

The results from the ADACORSAproject will be disseminated by TUD through leading academic journals and conferences across the globe. These include for example.

IEEE Workshop on Positioning, Navigation and communications (WPNC)

IEEE/ION Position, Location and Navigation Symposium

IEEE Transactions on Signal Processing

NeurIPS : Neural Information Processing Systems (NIPS)

IEEE International conference on acoustics, speech and signal processing (ICASSP)

EURASIP European signal processing conference (EUSIPCO)

Kompetenzzentrum –Das Virtuelle Fahrzeug, Forschungsgesellschaft mbH



VIF will evaluate the comparative strengths and weaknesses of different drone sensor modalities for sensor fusion. Different sensor sets and their specifications shall be defined for the use cases based on the mission requirements. KPIs for sensor data fusion algorithms shall be defined.

VIF will set up a simulation architecture including dynamic drone models, sensor models (realistic sensor behaviour depending on weather, light conditions etc.) and environment modelling. VIF will develop AI-based/conventional algorithms for sensor data fusion. This shall include ego-motion estimation and localization, object detection and classification, free space estimation and environmental mapping (e.g., SfM, multi-view stereo, Bayesian mapping). VIF will demonstrate the developed sensor fusion algorithms and use cases in established virtual simulation architecture and demonstrate the sensor fusion algorithms on recorded drone data.

HFC Human-Factors-Consult GmbH

The Role of HFC in ADACORSA will be:

Conduct user research and define human factors related requirements,

Investigate drone acceptance in the general public including possible intercultural differences,

Derive consequences for scenariorefinement and

Guidance for scenario validation as well as testing.


Harokopio University of Athens

HUA will participate mainly in cognitive and AI-enabled decision making functionalities for various types of BVLOS services for highly automated drones. This work will be performed. Moreover, HUA will participate as an academic institution.

Consorzio Interuniversitario per la Nanoelettronica


IUNET will design, manufacture and test custom antenna systems for radar sensors and communications and will contribute to the development of radar front-ends.

Frequentis AG

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




FHRs main task will be the design of the transmitter circuits of the radar sensor in Infineon’s automotive radar technology B11HFC. Rudimental circuits for built-in-self-tests like temperature sensors and power detectors will be investigated to enhance functional safety. FHR will also lend advice and support  to ensure that the derived requirements and deduced system concept is not overstraining the B11HFC technology.

Giesecke + Devrient Mobile Security GmbH


GD will develop new concepts to enable reliable and secure communication of drones and to enable secure and reliable identification of drones and their operators. All GD activities are part of “Security and reliability of communication and identification of drones and operators”, which is led by GD.4.

UAB Metis Baltic


MB will lead WP7, organising and collating the project’s dissemination, communication, exploitation, and stakeholder engagement activities.Metis Baltic will use its expertise in technology transfer and commercialization to ascertain appropriate markets, partners / investors, and distribution channels for the results of the technical investigation of ADACORSAtechnologies. Metis Baltic will use this information to develop a dissemination plan to properly introduce the technologies to market. All dissemination and communication material will be prepared, to ensure high visibility of the project’s aims. Furthermore, liaison with other similar projects and collaboration with standardization bodies will be undertaken.

Instituto Superior de Engenharia do Porto

ISEP will contribute with a safe and secure handover mechanism between drone control stations BVLOS and with SDN 5G efficient resource management for D2X communications. In addition, by building upon its expertise in real-time communications, it will develop a fail-operational distributed data processing and communication architecture for safe and computational efficient drone flight control and navigation systems, using a point-to-point approach. The demonstrator of this technology will validate the communications architecture in a HiL (hardware in the loop) simulation environment, which will enable the validation and demonstration of the limits of the architecture in different operation scenarios, concerning its safety and timing specifications. The HiL simulation environment will be deployed, using real flight data, to enable the validation of the communication technology under that scenario.

Airholding - Embraer RT Europe

EMBRT will manage the requirements WP using a MBSE approach. It will coordinate the requirements elicitation and specification, from high level to system level, accross the ADACORSA supply chains.
EMBRT will providing the logistics delivery use case. In that role it will define the requirements for the use case –delivery of goods BVLOS –and its means of verification and validation. It will support the development of the solutions addressing demonstrators, with particular focus on the handover capability together with ISEP.


Smart Iş Makinaları San. Tic. A.Ş


SMART will develop a smart construction operation of excavator in collaboration with a truck. Truck and the excavator will be led by the drones flying above the construction area.

SMART will test and demonstrate the results of the self-operating excavator together with the drones, edge computers and the heavy duty truck in a smart construction environment.

SMART will start by defining the requirements for the demonstration of the self-operating and remotely controlled excavator in the smart construction site.


Turkish Aerospace (TAI) will design, produce and provide drones for the project. TAI will contribute to test and validation of automotive sensors on the avionic systems, and test the results in airworthiness criterias. It will contribute to the testing byprovided sensor models, performing simulations, characterizing the sensor components in its lab and evaluating the sensor systems both in the lab and in the field.

Turkish Aerospace (TAI) will validate to use of these kind of sensors in avionic equipmentsfor relevance, integration methods and benefits to avionic market also Identify use cases in the avionic sector.Contribute to the identification of validation test activities as well as other industrial sectors research activities.


Main role of Turkcell in ADACORSA project is that develop 5G-LTE flying base stations which aims to provide seamless 5G connectivity to users from drones. Turkcell will work with drone industry partners to combine network technologies and drones technologies. In addition, Turkcell will work on design of network architecture and frequency planning for flying base stations. Also, Turkcell will investigate mobility, network integration, QoS topics for 5G flying base station. After development of flying base station, Turkcell will demonstrate this solution with project partners. Turkcell’s communication solution will be integrated with other partners solution.PS: Turkcell is expecting 5G networks equipment will be available in the market, if not Turkcell will work with LTE+ network equipment.

Turkiye Bilimsel Ve Teknolojik Arastirma Kurumu


TUBITAK will particularly focus on AI based control and path planning requirements for drones and vehicles. TUBITAK will also focus on requirements for drone and ground station communications.A ground control station (GCS) will be used, which provides the facilities for human and/or AI based control of drones, task and path planning and pre-flight processing (payload settings, battery charge...). The GCS will include the Human-Machine Interface, computer, 4G/5G communication module, video capture card and aerials for the control, video and data links tothe drones.

Drones’ path planning will be realized with AI techniques by considering its control points before and while on duty. Considering that minimum energy and maximum efficiency are needed because of limited runtime constraints of drones, it’s crucial to guarantee to run the optimal routing algorithm which maximizes the throughput from task.






We are aiming for faster and safer constructions to be possible by more efficient use of the construction trucks in large autonomous construction zones with many operations going on at same time, 24h a day. This approach will create an economic value in Europe, by bringing down operation costs in a fast but safe manner.With the above mentioned aim, Ford Otosan will develop, integrate and validate the perception and control systems in system-level and in subsystem-level. The design will demonstrate the block schemas and flow diagrams of the perception system starting from the acquisition of theobject data from drones to the occupancy-map generation of the construction site on the edge computer/cloud, the control system starting from the acquisition of the optimized path generated by the planner in the edge computer/cloud to the generation of vehicle control signals including longitudinal and lateral controls.



We are working for the sUAS (drone) and tethered drone technologies for a while. With the technological developments on recent years, drone flight times increased from 10-15 minutes to 40-60 minutes. On the other hand, drone market increases with a huge percentage yearby year. Right now, each country has its own authority for drone laws, flight permits and airworthiness. It is obvious that in near future, EASA (European Union Aviation Safety Agency) will cover these local authorities. In a technical approach, for having some standards and rules, automobile industry will have a key point on drone market. As Robonik, we are researching and manufacturing drone solutions. Especially with our tethered drone solution, we can reach flight times around 4-12 hours with commercial drones and parts, and the main problem here can be defined as reliability and accuracy of flight electronics and sensors do not have standards like automotive industry so only thrusted option is redundancy of flight electronics.

Infineon Technologies Italia Srl



Infineon Technologies Italia(IFI) aims at development of PMICs suitable for usage in the target drone architecture of ADACORSA, in particular covering the power management needs of the Radar, Lidar and Camera sensors. Along with the power delivery the PMICs will also feature specific Safety features to enable the development of a drone architecture functionally safe, with special consideration of the autonomous flying characteristics. In consideration of the above IFI plans to contribute in Functionally redundant and fail-operational sensors for detection and avoidance and High-performance fail-operational drone control architecture.

Università di Parma


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

In particular, regarding the first aspect, UNIPR will contribute to the definition of requirements for data processing algorithms for environmental perception, in terms of UAV localization (combining GNSS, inertial, and radio-based information), and for data formatting for efficient transmission. UNIPR will contribute to the design and implementation of robust localization algorithms, based on real-time fusion of GNSS-based, IMU-based inertial, and radio-based location information. In particular, the algorithms developed by UNIPR will rely on both classical (e.g., Kalman filtering) and Artificial Intelligence (AI)-oriented techniques. UNIPR will implement the multi-sensor data fusion algorithms for efficient environmental perception developed, in COTS embedded systems). UNIPR will assist industrial partners in the integration activities, related to the algorithms developed by UNIPR  for Demonstrator 1 (Environment perception algorithms for Radar, Lidar, TOF camera and camera) and will support then in the demonstration of the developed functionalities in a Demonstrator.

Nokia Technologies Ltd



Nokia’s main role is to develop the video transport, bitrate adaptation and view-dependent streaming technologies for the HEVC encoded 2D and 360 drone video feeds. Nokia will specify, design and implement and efficient real-time transport protocol which will complement RTP/UDP or TCP based streaming and enable a two-way control between the operator and the video encoder system on the drone. For video throughput adaptation on the 5G network, several run-time configurations such as bitrate, resolution and Region of Interest (ROI) based quality selection signaling will be implemented. For 360 video streaming, a rate control and signaling algorithm which will optimize the video visual quality in the viewport in real-time will be designed and implemented.Nokia will also develop a computer vision algorithm for object detection which will be used to detect and stream ROI based video of several objects at high quality. The development will be done in collaboration with Tampere University and other partners.

Bauhaus Luftfahrt e.V.

Bauhaus Luftfahrt (BHL) serves as project partner for “Functionally redundant and fail-operational sensors for detection and avoidance”, “Security and reliability of communication and identification of drones and operators”, “Technology verification in the context of UTM”. BHL will support the definition of metrics and specification of requirements on sensors. Moreover, BHL will provide a “Technology radar”-function, based on literature screening for promising developments regarding sensor technology (e.g. THz radar, photonic devices). BHL will contribute to requirements definition for D2X communication for the purpose of later numerical QoS-assessments.


TAU’s role is to develop an end-to-end 5G video streaming solutions for remote piloting of drones and flight investigation. In practice, TAU will specify, design, and implement ultra-low delay, real-time HEVC video encoding, stitching, and projection solutions for drones. The work will address both traditional video (single camera) and 360 video (multi-camera) use cases. The ultimate target is to implement a low-power embedded on-board 360 video encoder on a field-programmablegate array (FPGA) with a 5G radio interface. A special attention will also be paid to intelligent ROI-based HEVC coding and inclusion of the object metadata in compressed video stream.The developed end-to-end video streaming framework will be validated with virtual and real demonstrations, where the intended use cases include taking remote control of the drone and video “black box” for accident investigation.

Avular BV

AVU is involved with integration of electronic components that enable environmental perception on the drone, as well as development and demonstration of algorithms for free-space estimation and navigation for BVLOS operation of UAVs. Specifically, AVU will integrate LiDar, radar and 3D vision components envisioned in SC1. The resulting platform will be used to integrate state-of-the-art sensor fusion and object detection algorithms in SC3, for which AVU will provide consortium partners expertise in the avionics domain throughrecorded sensor data, existing sensor fusion software and a safety-oriented autopilot build-chain. Demonstration of the environmental perception software is first performed through hardware-in-the-loop simulation before tests are performed on actual use-cases at designated outdoor drone testing facilities available for AVU.

NLR -Royal Netherlands Aerospace Centre

NLR will

  • Focus on the development of (components for) a Detect And Avoid (DAA) system taking into account its certification for the safe execution of Beyond Visual Line Of Sight (BVLOS) flight. NLR work focuses on the requirements and integrations aspects.
  • Evaluate the correct functioning of some selected developed components using its DAA flying testbed to verify by flight test campaign the correct functioning of the selected developed components. NLR work focuses mainly on the integrations and test and validation aspects.
  • Demonstrate the on-board DAA-system with BVLOS flight using its DAA flying testbed. Work focus will be on the preparation of the demonstration.

Support Embraer for the flight test campaign in preparation of the demo with NLR’s knowledge and experience with drones and operations at the Netherlands RPAS Test Centre (NRTC) operated by NLR at its Marknesse facilities.


AnyWi Technology BV

Development of a system for more reliable communication between drone and ground based on multi-path communication technologies, with creation of a software layer on the gateway to transform situation awareness information from the drone’s sensorsystems into interoperable formats for transmission to ground-based UTM systems.

Innatera Nanosystems B.V.

Innatera is involved in developing computing platforms for on-board sensor data processing, within a narrow power and weight envelope. The envisaged solution will employ emerging compute technologies to enable.



Proposal coordinator: Infineon Technologies AG



Further information


Project coordinator:

Ulrike Glock






Angaben gemäß § 5 TMG


Ostbayerische Technische Hochschule (OTH) Amberg-Weiden

Kaiser-Wilhelm-Ring 23
92224 Amberg


Vertreten durch

Heike Lepke

Telefon: +49 (0) 9621 482-0



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Heike Lepke

Telefon: +49 (0) 9621 482-0



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