July 10, 2026
-UAVOS has successfully tested NAVAI, a vision-based navigation module for unmanned aircraft systems designed to improve flight resilience when GNSS signals are degraded or temporarily unavailable. NAVAI uses neural networks to match real-time camera imagery with pre-loaded terrain maps, helping unmanned aircraft estimate their position by matching real-time camera imagery with pre-loaded terrain maps when satellite navigation cannot be relied upon.
The module runs on embedded computing platforms and external mission computers and integrates with the APS Ground Control Station (GCS), providing operators with real-time visualization of terrain matches, navigation confidence, and system diagnostics.
Key features of the NAVAI system include:
“Vision-based navigation is becoming a defining capability for UAS operations in GNSS-degraded environments. As operating conditions become more complex, the ability to navigate safely and autonomously without relying exclusively on satellite signals will move from a technical advantage to a mission-critical requirement,” said Aliaksei Stratsilatau, Founder and CEO of UAVOS.
Designed as an additional navigation layer for fixed-wing UAVs and unmanned helicopters, NAVAI is intended for autonomous operations across commercial and industrial applications, as well as approved specialized programs where applicable.
Source : UAVOS