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Comparison of Camera and Radar Based Sensors for Detect and Avoid – sUAS News

Byadmin

Aug 2, 2024





In January of 2024, Canada’s National Research Center (NRC) published this report titled “Transport Canada Airborne Detect and Avoid Flight Trials 2022/2023.”   

The report documents a flight test regime and results comparing the uAvionix Casia X system to two different onboard radar solutions for DAA.  The Casia X system by uAvionix stands out as a cutting-edge solution in the realm of UAS detect and avoid technologies. Its AI-driven optical detection capabilities, low weight, cost effectiveness, and extremely low false positive rate provides a comprehensive and reliable safety system for UAS operations. As the UAS industry continues to grow, the Casia X system, supported by the robust uAvionix infrastructure, will play a pivotal role in ensuring safe and efficient airspace integration for unmanned aircraft. 

RadarCasia XFalse Positives2812 (during 49 encounters)0 (during 77 encounters)Detection Rate74.3%96.6%* (intruder above)Average Range at First Detection1990 meters (±1019 meters)1441 meters (±456 meters)(adjusted for software release 3.4)Range Error-5 meters (±12 meters)144 meters (±225 meters)Azimuth Error0.8 degrees (±0.6 degrees)1.3 degrees (±8.9 degrees)Elevation Error-2.8 degrees (±8.6 degrees)-2.2 degrees (±2 degrees)

* Below skyline detections were disabled for the test.

The summary table above outlines the comparative performance metrics of the tested Camera and Radar-based systems.  For more information, please download the uAvionix Casia X NRC whitepaper detailing the test results and advantages of camera based solutions such as the Casia X.

Download the paper here

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