DLR Artificial Intelligence Navigation Challenge

The DLR Artificial Intelligence Navigation Challenge for resilience and autonomy was looking for solutions that enable automation and autonomy with reliable PNT – positioning, navigation, and timing – and strengthen PNT with smart approaches while providing maximum benefit to the user community.


Those are the TOP 3 submissions to the DLR Artificial Intelligence Navigation Challenge. Congratulations to the winning solution!

Signal-In-Space Analysis Using AI
Modern GNSS receivers process their information mostly in the digital domain. As a result, they are capable of collecting large amounts of highly detailed data on the GNSS signals that were not available to previous generations of receivers. The question now is how to turn this big data into valuable information. Integricom introduces artificial intelligence (AI) in the processing chain to enable receivers to extract additional information on the accuracy and quality of the received signals. Based on this information, users will be able to assess the accuracy and reliability of the GNSS position much more accurately. This in turn will enable them to judge with much higher confidence whether they can safely and effectively use the system, which is essential for many (if not all) applications of GNSS.
Submitted by Pieter Bastiaan Ober

A Secure GNSS Receiver Powered by Embedded AI
Since public GNSS signals cannot be authenticated, they can be imitated. This is known as a spoofing attack. It poses a threat to users because their navigation systems could receive fake and misleading signals that can cause a route deviation.
Automated and autonomous systems are especially vulnerable. Humans and valuable assets are exposed to this threat. Smartphones and vehicles use GNSS for navigation and are operated by humans, which is why they are perfect targets for those seeking to cause people harm.
Apart from diverting a car from its route, think of a mobile phone being spoofed: Instead of following legitimate GNSS signals, the owner could be redirected to a dangerous place by fake positioning signals from an attacker.
This project aims to develop a secure GNSS receiver. The device is designed for worldwide civilian use and for users with high security requirements which are not covered by any secure GNSS variant.
The receiver will detect and correct route deviations by verifying the legitimacy of the GNSS signals. An artificial intelligence engine will determine the authenticity of signals and reject any others. Further security mechanisms will ensure the integrity and data privacy of the device’s components.
Submitted by Sadiel de la Fe Siverio


Extended usage of GNSS requires reliable positioning services with appropriate
  • Accuracy
  • Availability
  • Integrity
  • Continuity
with the scope to identify the problem, create a solution, overcome current limitations and prepare for the future. Business cases should be:
  • A technical and application-oriented solution
  • Ready and robust
  • Made for the best usage of Galileo/GNSS
  • Moving towards automated & autonomous operation
Areas of particular interest to DLR are:
  • Applications of AI and smart processing for improved reliability and resilience in navigation
  • Using crowd intelligence to detect and locate interference, jamming and spoofing, etc.
  • Environmental and propagation monitoring using crowd techniques
  • Threat detection and monitoring using smart distributed sensors
  • Application of GNSS and further navigation systems in automated or autonomous systems
  • Making GNSS receivers robust in challenging conditions
  • Fusing GNSS data with other sensors and augmentation for resilient PNT
  • Mitigating the cyber security threat
Ideas specifically addressing PRS, the Public Regulated Service within GALILEO, are not topic of the DLR prize.


5 man-month voucher* for DLR services

5 man-month voucher* for DLR services to aid the further development of the solution, incl.

technical support for research activities, access to testing and simulation facilities, expert advice, feasibility or concept studies & thus, support for eventual realisation

*A mutual agreement between the winner and DLR about the focus of work is required.

The prize itself is a bundle of activities that are executed purely within DLR. There is no way to convert this into a cash prize to be paid to the winner or other external parties. While all contestants will demonstrate their innovation competence merely by participating, the winner will enjoy the added benefit of having the Galileo Masters DLR Special Prize 2019 on their record as a testament of quality.

E-GNSS Accelerator Support

E-GNSS Accelerator Support

Chance to win one of three tailored E-GNSS Accelerator incubation prizes worth EUR 62,000 and an E-GNSS Accelerator crowdfunding prize worth EUR 35,000 (if eligible)
Extra Prize Money
An extra EUR 10,000 cash prize will be
allocated if your idea gets selected as
Galileo Masters 2019 Overall Winner
Overall Winner Only


Submissions to DLR Artificial Intelligence Navigation Challenge for resilience and autonomy will be assessed against the following criteria:

Benefit to the user community

Usage of Galileo/GNSS PNT services

Ideas and innovations will contribute to further optimising the operation and the evolution by honing existing approaches as well as with completely new thoughts to refuel the ideas tank

About DLR

German Aerospace Center (DLR)

The German Aerospace Center (DLR) is the national aeronautics and space research centre of the Federal Republic of Germany. Its extensive research and development work in aeronautics, space, energy, transport, digitalisation and security is integrated into national and international cooperative ventures. In addition to its own research, as Germany’s space agency, DLR has been given responsibility by the federal government for the planning and implementation of the German space programme. DLR is also the umbrella organisation for the nation’s largest project management agencies.

In determining the focal points of its research, DLR is to a large extent guided by industry’s demand for innovative products and services. In addition, it invests in promising technologies and offers its research and development capacities to customers for their own use. Numerous products have been successfully developed in this way and launched on the market in cooperation with innovative enterprises.



German Aerospace Center (DLR)


Robert Klarner

+49 (0) 8153 28 1782