CARNIVAL

Recent advances in the miniaturisation and performance enhancement of radar sensors, particularly their high frame rate and ability to penetrate many environmental conditions (night, fog, particulate matter, smoke, etc.) that interfere with visual sensors, have given them a tremendous boost in several sectors. Just as Visual-Inertial Odometry (VIO) has had a breakthrough effect for GNSS (Global Navigation Satellite System) applications in impaired areas, the fusion of radar and inertial measurement is expected to enable and revolutionise applications in GNNS and visibility-restricted areas for this project.

The "CARNIVAL" project’s challenge is, among other things, to generate and analyse radar signals for the best extraction of motion information and to use these to extract motion-specific features from a raw radar signal. These will then be merged with inertial measurements and fed into a self-calibrating state estimator for both localisation and control of highly agile platforms.

Project partners:

•    Universität Klagenfurt (Austria)
•    Deutsches Zentrum für Luft- und Raumfahrt (Germany)
•   Neura Robotics GmbH (Germany)

Project coordinator:
Universität Klagenfurt

Contact for German consortium:
Deutsches Zentrum für Luft- und Raumfahrt e.V.
Institut für Robotik und Mechatronik

Project duration: March 2021 – Feb. 2024

Total costs: 0.73 million euros

Total funding: 0.34 million euros