What is NAVAI and what problem does it solve?

NAVAI is a visual navigation module developed by UAVOS that keeps drones flying accurately when GNSS signals are jammed or unavailable. It uses a neural network to match live camera imagery against pre-loaded terrain maps, enabling autonomous position estimation without satellite navigation.

What environments can NAVAI operate in?

NAVAI is designed to handle challenging visual conditions including cloud cover, haze, low-light environments, and seasonal landscape changes. Its built-in AI algorithms filter visual noise to maintain reliable ground feature recognition across all these scenarios.

What platforms and systems is NAVAI compatible with?

NAVAI runs on embedded computing platforms and external mission computers. It integrates with UAVOS's APS Ground Control Station (GCS) and is suited for commercial, industrial, and approved special-category autonomous flight missions.

UAVOS Develops NAVAI Visual Navigation Module to Boost…

UAVOS Develops NAVAI Visual Navigation Module to Boost Drone Resilience During GNSS Outages

UAVOS has announced the successful testing of NAVAI, a visual navigation module designed for drones operating in GNSS-denied or degraded environments. Using neural network-based terrain matching, NAVAI enables autonomous positioning by comparing live camera footage against pre-loaded terrain maps, and integrates with the APS Ground Control Station for commercial and industrial autonomous flight applications.

about 3 hours ago

Highlights

UAVOS has successfully completed testing of NAVAI, a visual navigation module that enables drone autonomous positioning during GNSS signal jamming or outages.

NAVAI uses neural network terrain matching to compare real-time onboard camera footage against pre-loaded terrain maps, removing dependence on satellite navigation.

The module's AI algorithms maintain ground feature recognition under cloud cover, haze, low light, and seasonal landscape changes.

NAVAI integrates with the APS Ground Control Station and is compatible with both embedded computing platforms and external mission computers.

Target applications include commercial and industrial autonomous missions such as infrastructure inspection and environmental monitoring, as well as approved special-category UAS operations.

UAVOS Launches NAVAI Visual Navigation Module to Address GNSS-Denied Navigation Challenges

UAVOS has announced the successful completion of testing for its visual navigation module, NAVAI. Designed specifically for unmanned aircraft systems (UAS), NAVAI aims to enhance flight resilience and stability when GNSS satellite signals are jammed, spoofed, or temporarily unavailable.

Core Technology: Neural Network Terrain Matching

NAVAI leverages neural network technology to match real-time imagery from the drone's onboard camera against pre-loaded terrain maps. This allows the drone to autonomously estimate its position even when satellite navigation is unavailable.

The module is compatible with embedded computing platforms and external mission computers, and integrates directly with the APS Ground Control Station (GCS).

AI Algorithms for Challenging Visual Environments

NAVAI's built-in AI algorithms are designed to filter visual noise and maintain reliable ground feature recognition across a range of difficult conditions, including:

Cloud cover
Haze or low visibility
Low-light environments
Seasonal landscape changes

The module also features a dedicated operator interface that provides ground crews with a live view of the drone's field of vision, overlaid directly onto the mission map — enhancing situational awareness and operational control.

Broad Application Potential

UAVOS states that NAVAI has been developed for autonomous commercial and industrial flight missions, as well as for use in approved special-category operations. Target use cases include infrastructure inspection, environmental monitoring, and other mission-critical scenarios.

The release of NAVAI represents a significant step toward reliable backup navigation for drones operating in electromagnetically contested or GNSS-vulnerable environments, with the potential to improve both operational safety and mission completion rates.

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