UAVOS partnered with its client to test UAVOS” autopilot system using computer vision.
UAVOS’ Engineering Service supported this testing with its advanced avionics system integrated into its unmanned helicopter. The use of computer vision in drone navigation systems is an advanced approach that aims to set up new standards for autonomous drone navigation and safety.
The UAVOS autopilot system leveraged advanced computer vision and AI to navigate the UAV in GNSS-denied environments with unprecedented precision and reliability.
The onboard computer vision-based alternative navigation module with deep learning algorithms provided the UAVOS avionics system with the geospatial coordinates. Computer vision enabled accurate, resilient navigation during both day and night, offering safe take-off and landing independent of the UAV. This method for acquiring and processing enabled the drone to “see” and interpret its environment, allowing it to navigate autonomously without needing GNSS.
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