Becker Avionics jointly develops UAV collision avoidance system

[According to the announcement on the uasvision website on September 9, 2021] Becker Avionics and Iris Automation have jointly developed an optional UAV aerial collision avoidance safety enhancement system to realize the detection and warning of potential threats to the airspace. , To improve the situational awareness of the pilots of the general aviation platform, and also to improve the flight safety of the UAV platform.

The anti-collision system developed by the joint team applies computer vision and machine learning technology to detect the approaching aircraft outside the pilot's field of vision and send out 3D audio warning signals. The solution combines Iris Automation’s patented Casia detection/warning technology and Becker Avionics’ new communication/navigation equipment technology, and can be adapted to manned/unmanned multi-platforms.

According to the joint R&D team, most aircraft platforms are currently equipped with ADS-B systems to support the realization of aerial collision avoidance targets. However, in some airspaces, traditional ADS-B signals are invalid, which greatly increases the difficulty for pilots to avoid air planes.

According to data from the US Bureau of Transportation Statistics (BTS), from 2016 to 2020, there were 1,450 close-in air collision reports; data from the Aircraft Owners and Pilots Association (AOPA) Air Safety Foundation (ASF) showed that 82 % Aerial collisions occur at the rear of the aircraft, and this risk is particularly serious for helicopter platforms. Based on the new air collision avoidance photoelectric/audio system, even in the case of ADS-B or TCAS signal failure, the pilot's situational awareness of the airspace can be significantly improved. The system can significantly improve flight safety and reduce the pilot's flight operation load.