UAV Navigation has recently enhanced its long-term collaboration with both Sagetech Avionics, Inc. and Iris Automation for the integration of transponders and real-time computer vision to improve the sense and avoid capabilities of its flight control solutions.
Sagetech’s MX family of transponders and Iris Automation’s innovative detect and avoid Casia systems provide the VECTOR autopilot with the capability to detect uncooperative crewed and uncrewed aircraft in its airspace and autonomously or manually take corrective action, avoiding potential collisions.
Transponders are devices that transmit position and attitude parameters from an aircraft in flight to a local control tower or compatible receiver. Sagetech’s FAA Certified ADS-B IN/OUT transponder feeds the UAV Navigation flight control system with real-time information about a suitably equipped aircraft in flight so that it can be displayed directly within Visionair, the ground control station software.
Iris Automation’s Casia computer vision systems leverage AI and deep learning algorithms to detect surrounding air traffic, , facilitating automated or manual deconfliction and the prevention of collisions.
These integrations enhance the operational safety of aircraft using UAV Navigation’s system and create a benchmark for the detection and avoidance of cooperative and non-cooperative air traffic in the UAV sector.
UAV Navigation is keenly aware that one of the most significant challenges facing the aviation industry is the coexistence of numerous crewed and uncrewed platforms within a single airspace. This collaboration enables direct compatibility with the products from the three companies and allows straightforward integration within a single, intuitive interface from which the UAV operator can monitor and control the mission.
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