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Project

ADAM

Increasing the operational safety of drones, including simplifying flight authorisation

The ADAM (Advanced Air Space Mapping) project is a BMDV-funded project with the aim of using annotated 3D maps to increase the operational safety of UAS and simplify their flight authorisation. This makes it possible to reduce the number of on-board sensors, prioritise the detection of other road users and increase redundancy. This will make a significant contribution to the certifiability of autonomous flight and support the federal initiative to establish a German lead market for UAS. 

Investigation

how analyzed 3D maps can be used to simplify the operational safety of drones and their flight authorisation.

Development

of fusion algorithms and AI-based annotation of voxel maps as well as georeferenced, annotated 3D maps.

Demonstration

autonomous drone flights
beyond visual line of sight (BVLOS)
based on newly acquired
high-precision voxel maps

Project duration

Project start: September 2023 Project end: August 2026

The goal

ADAM relies on mapping using drone-based sensor data fusion. Georeferenced annotated voxel maps are created using AI data evaluation and D-GPS localisation. The generated maps are intended to guarantee safe, redundant trajectory planning at altitudes below 150 metres and are to be integrated into the UTM as an extended or optional geo-awareness service for use in the context of U-Space. The homologation of the formats and methods is being investigated and initiated. 

The implementation

As part of the ADAM project, individual work packages are being implemented step by step. 

Among other things, the existing virtual and real test field will be expanded and the lower airspace of the test field will be digitally surveyed so that a reference data set can be created. The survey is being carried out using a high-performance drone equipped with radar LiDAR camera sensors.

After the successful survey, fusion algorithms and AI-based annotation of the voxel maps are evaluated. In addition, georeferenced, annotated 3D maps are developed that can be used for the extended geo-service for U-Spaces.

Autonomous flight demonstrations take place on the basis of the newly captured high-precision voxel maps.

Our contribution

In the project, Droniq is mainly concerned with the provision of voxel maps to drone operators. To this end, the systemic and practical requirements arising from the intended expansion of the geo-awareness service are being examined in detail and how these can be implemented. In addition, Droniq provides access to the UTM, which was further developed as part of the research project and is used during the demonstration flights.

Project partner

FRAUNHOFER
INSTITUTE
IVI

FRAUNHOFER
INSTITUTE
IOSB

CONTINENTAL
AUTOMOTIVE TECHNOLOGIES

SEDENIUS ENGINEERING

TECHNICAL
UNIVERSITY OF MUNICH

BIT
TECHNOLOGY SOLUTIONS

AIRCLIP SERVICES

DRONIQ

PAUL & KAYSER
ENGINEERING-COMPANY

AEF

Funding source

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DRONIQlive: How drones help to rescue fawns

Rescuing fawns with the help of drones is a hot topic. Every spring, farmers start mowing their fields and unfortunately fawns are often caught by the mowing machines without being detected.

Drones can be a great help in saving the animals! Equipped with thermal imaging cameras, drone pilots can spot the animals from the air before it is too late. This allows farmers, hunters or other helpers to rescue the fawns in good time.

In our next edition of DRONIQlive on Thu, 23.05.2024 at 7 pm, we will take a closer look at this topic. We look forward to your participation!