The European Space Agency announced on Thursday that it is implementing artificial intelligence (AI) for satellite navigation through its NAVISP program. This program, in collaboration with European industry and academia, aims to revolutionize navigation by offering a range of services to enhance space and Earth weather forecasting, optimize autonomous vehicle performance, and identify rogue drones in sensitive airspace.
The NAVISP program strives to improve the performance of satellite navigation systems by combining Global Navigation Satellite Systems (GNSS) with AI. Rafael Lucas Rodriguez, the head of the NAVISP Technical Programme Office, highlighted the versatility of AI, stating that it encompasses techniques that enable computers to mimic intelligence, whether through data analysis systems or embedded intelligence in autonomous vehicles.
Rodriguez emphasized the potential of AI, particularly machine learning, in extracting meaningful information and identifying useful patterns from large quantities of data in satellite navigation and related fields. By applying machine learning, the CAMLIOT project within the NAVISP program aims to analyze patterns in ionospheric variations caused by space weather and weather effects in the troposphere. The results of this project have the potential to enhance the accuracy of space and weather forecasting.
Another project within the NAVISP program, called AIGNSS, utilizes AI-enabled algorithms to improve GNSS positioning for autonomous driving. By combining multiple satnav constellations and analyzing signal data from roadway settings in the United Kingdom, researchers were able to achieve performance improvements, although they were not substantial in nature.
AI and machine learning are also being applied in the study of autonomous shipping in a Norwegian fjord. Equipped with communication infrastructure, positioning sensors, and Internet of Things connectivity, this project involves analyzing test outcomes and using machine learning to steer vessels through embedded intelligence.
Lastly, the MEDuSA project, which predominantly utilizes signals from the Galileo satellite system, offers a method of detecting drones and estimating their trajectories using GNSS signals as radar sources. Through forward scattering detection, machine learning, and predictive Kalman filters, this project enables the identification of drones and tracking of their movements.
With these innovative projects, the European Space Agency is spearheading the integration of AI into satellite navigation systems, paving the way for enhanced navigation capabilities and a wide range of practical applications.
(Source: Fox News)
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