Institute of Flight Guidance - Projects

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Projects at the Institute of Flight Guidance

	5G-Reallabor (in the mobility region BS-WOB) In this project an open real lab is being set up which serves the rapid implementation of 5G use cases on a concentrated area in order to gain experience about the 5G technology, but also the interaction with other technologies across domain boundaries.
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	AACID (Acoustics and aerodynamics for city drones) The project AACID is focused on estimating the noise and aerodynamics of multicopters for urban areas. The aim of AACID is to estimate the noise and hazard potential that can arise from disruptive winds during the air transport of people and goods with multicopters in urban environments.
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	AURA (SESAR PJ34-W3 ATM U-SPACE INTERFACE) The objective of the SESAR Industrial Research project PJ34 AURA is to lay the foundations for the integration of the new entrants in current and future air traffic environment, developing the required concept of operations and validating U-space services information exchanges with Air Traffic Management systems.
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	CORUS-XUAM CORUS-XUAM is an EU project dedicated to implement Urban Air Mobility solutions within U-space by developing the necessary operational procedures and requirements considering safety, efficiency and social acceptability. A core element of the project are six demonstrations in different European countries.
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	DIAL (Individual and Automated Air Transport) The project "Individual and Automated Air Transport" (Der individuelle und automatisierte Luftverkehr; DIAL), initiated by the DLR, bundles research to expand the automation of flight guidance. This will enable flight planners to offer customized climate-optimized routes for every aircraft in the sky.
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	DiCoP (Digital Co-Pilot) Within the collaborative project DiCoP AerosSys and the Institute of Flight Guidance are together developing and testing a digital co-pilot for speech assistance in Single Pilot Operations.
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	Digital Technologies for Tower (SESAR 2020 PJ05-W2 DTT) SESAR Project DTT focusses firstly on the development of a remote-aerodrome air traffic service and secondly on the validation of innovative human-machine interface modes and related technologies in different airport towers.
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	Eco2Fly (Ecological and Economical Flying) Various DLR institutes are working together in Eco2Fly to evaluate both tactical and strategic measures for reducing the climate impact of air traffic, thereby utilising new findings on climatic effects.
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	FALCO (SESAR 2020 PJ33-W3) The SESAR project FALCO is investigating solutions for making air traffic management and controller deployment more flexible, efficient and responsive to changing traffic demand and conditions. The project will also trial spectrum-efficient data link connectivity and digital voice communications.
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	GLASS (GLS approaches based on SBAS) The GLASS project aims to achieve an SBAS-based extension of GLS approaches.The objective is a cost-effective system to enable satellite-based approaches with vertical guidance and automated landings in freely definable locations.
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	GreAT (Greener Air Traffic Operations) The project focuses on innovative guidance concepts for air traffic as well as optimised taxiing and flight operations for a climate-friendly air transport. Continuous data exchange between aircraft and ground control centres is one of the main pillars of its research approach.
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	HAAWAII (Highly Automated Air Traffic Controller Workstations with Artificial Intelligence Integration) The HAAWAII project is working on a "listening" assistance system to better support air traffic controllers. In order to use this system with speech recognition at many airports at low cost, AI and especially machine learning is used.
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	HorizonUAM Efficiency, safety, feasibility, sustainability and affordability are the key characteristics of future urban mobility. The HorizonUAM project provides first answers to this vision by pooling existing competencies of individual institutes within DLR.
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	INVIRCAT (Investigate IFR RPAS control in airports and TMA) The INVIRCAT project aims to provide a means for a safe and efficient integration of remotely piloted aircraft systems into the existing air traffic control procedures and infrastructures within terminal manoeuvring areas under instrument flight rules.
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	ITC (Inter-Team Collaboration) The Inter-Team Collaboration (ITC) project focus DLR's own expertise on teamwork and involve stakeholders to develop solutions for team collaboration in an efficient ATM system.
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	KIEZ4-0 (Artificial Intelligence European Certification under Industry 4.0) The national joint-research project KIEZ is aimed at creating a demonstrator that illustrates how artificial intelligence in aviation can be certified internationally in the future.
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	Labyrinth The aim of Labyrinth is to optimise drone traffic to enhance its circulation in highly densified areas and encourage its use, given the high potential of these unmanned aerial vehicles for the optimisation of management and supervision processes.
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	Noise emissions from unmanned aerial vehicles Predictions for the future foresee the widespread use of drones in both rural and urban areas. In addition to the technical challenges and the question regarding the safe and efficient integration of these new airspace participants into the airspace, the social acceptance of this innovative technology is crucial for its success.
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	MaRPAS 3 (Maritime RPAS Operation 3) In the MaRPAS 3 project, German maritime police and DLR are jointly researching the use of unmanned air vehicles at sea in order to capture highly automated situational images and identify safety-critical situations.
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	Master360 The Master360 project is dedicated to the safe integration of UAVs into the airspace. To this end, it is developing approaches that allow airspace to be used efficiently even with high traffic densities. Master360 also examines their implementation with technology demonstrators.
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	MasterUAS The objective of MasterUAS (multi-sensor system with “Detect and Avoid” for the secure integration of UAS into the air traffic) is the development of a function demonstrator for the secure integration of unmanned aerial vehicles (UAV).
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	NICo (Next Generation Intelligent Cockpit) In the NICo (Next Generation Intelligent Cockpit) project, the concept and architecture for a highly automated cockpit of the future is being developed and investigated within the scope of a number of simulator studies in the cockpit simulator GECO and AVES.
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	PASSport The purpose of the PASSport project is to engineer and qualify a solution which extends the situational awareness in port areas in order to improve safety and security. Aerial fixed/rotary wing and underwater drones form the basis for this.
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	PROSA Wave 2 (SESAR 2020 PJ10-W2) The achievement of a uniform European airspace and the provision of even safer and simultaneously more affordable services for a constantly increasing number of airspace users is only possible through focused technical developments. The SESAR project PROSA W2 addresses this.
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	ResponDrone ResponDrone is an international, which is dedicated to developing and applying a fleet of drones operated by a single pilot in emergency situations, providing critical information and communication services to first responders.
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	SAFELAND The SAFELAND project’s objective is to assist the flight and landing of a single-piloted aircraft in the case of partial or total incapacitation of the pilot. Hereby, SAFELAND will mainly focus on developing a sensible ground support concept, and in particular on the role ATM could have.
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	SALVARE (Safe Landing and Takeoff in low Visibility for advanced Rescue Operations) The DLR project SALVARE focuses on rescue helicopter missions in both poor visibility through fog and at night to extend their operational range. Various assistance systems are to support the pilot in this.
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	SINOPTICA (Satellite-borne and In-situ Observations to Predict the Initiation of Convection for ATM) The SINOPTICA project aims to exploit the untapped potential of assimilating remote sensing, as well as GNSS-derived datasets and in-situ weather-station data for the benefit of air traffic management operations.
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	Sonification in air traffic control At the Institute for Flight Guidance, the foundations of a new research field are being laid as part of a doctorate: representing the most varied forms of data using different musical parameters such as pitch or volume to increase situation awareness during monitoring tasks.
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	SpaceTracks By establishing a Launch Coordination Center (LCC), DLR wants to develop tools for a " launch-on-demand " of spacecraft and contribute to their safe and efficient integration into the airspace.
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	STARFiSH (Safety and Artificial Intelligence Speech Recognition) Applications based on AI can be of great benefit in the field of air traffic control, provided such applications can fulfil the stringent safety requirements of the aviation industry. For this purpose, STARFiSH will integrate AI-based speech recognition ABSR into an A-SMGCS monitoring system for ground traffic at Fraport AG.
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	START (Stable and resilient ATM by integrating Robust airline operations into the network) The EU-funded project aims to design, apply and verify optimised algorithms that will enable a robust ATM system not only for conventional air traffic but resilient in disrupted circumstances as well.
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	Total Airport Management (SESAR 2020 PJ04-W2 TAM) Within the project PJ04 Total Airport Management, solutions are being developed for the efficient utilisation of available resources and capacities at airports of widely differing sizes. It addresses the integration of airport processes into the ATM network and the processes at the airport.
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	URClearED (A Unified Integrated Remain Well Clear Concept in Airspace D-G Class) The SESAR project URClearED is concerned with a formally precise definition of a "Well Clear" concept in airspaces D to G, particularly involving drones.
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	USEPE (U-space Separation in Europe) USEPE will develop a concept to ensure safe separation of unmanned aerial vehicles (from other drones and from manned aircraft) in a crowded urban airspace. It will also look at the impact of turbulent wind shear between buildings and new machine learning methods to automate the separation management.
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	USpace4UAM (USpace for Urban Air Mobility) USpace4UAM is a two-year demonstration project, in which air-taxi and drone system manufacturers, air traffic control providers, service providers and research institutions aim to demonstrate the current state of research and development of unmanned aerial vehicles and air-taxis in various operational missions.
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