With more than a decade of experience and investment in VBN, Airbus is well-positioned to guide this emerging, fast-growing technology into the next generation.
A range of pre-processing algorithms to interface image-processing with navigation filters. Links image–processing metrics (points or edges on the image) with navigation metrics (movement between successive images).
StarNav Schmidt EKF
An efficient extended Kalman filter implementation relying on polymorphic model representations. Merges StarNav UFS inputs with the inputs of possible conventional sensors (accelerometers, gyrometers, star trackers, doppler measurements, etc.).
Past missions make up our VBN expertise. Our heritage non-exhaustively includes:
Developed by Airbus and ESA, GENEVIS is a full-software VBN solution dedicated to precise lunar landings. The outputs of two image processing algorithms, providing information on relative and absolute positioning respectively, are hybridised with inertial measurements by a highly efficient extended Kalman filter.
GENEVIS validates the performance and robustness of the solution with simulations, the CPU load performance on space-graded processors in real-time, as well as the in-flight accuracy with real hardware and representative dynamic conditions.
The GENEVIS demonstration upped the solutions’ maturity level to TRL5 and paved the way to a variety of other applications thanks to the high genericity of Airbus’ VBN solutions.
Vision navigation contacts:
Computer Vision: firstname.lastname@example.org
GNC Advanced Studies: email@example.com