Adaptive Detect and Avoid Interface for Unmanned Aircraft Systems (UAS)

Autonomous Detect and Avoid (DAA) is vital for Unmanned Aircraft Systems (UAS) to be adopted large scale in military and commercial operations. Just as manned aircraft have traffic control and rules followed by pilots, UAS have to follow rules and take guidance. Both sensor input to the human, and control input from the human have inherent communication delay. A holistic DAA capability needs to incorporate human initiated goals with the DAA algorithms. This integration has to keep in mind human factor such as cognitive-load, autonomy reliability, and mission efficiency. The design of the proposed system incorporates exhaustive interaction modalities between the on-board and remote DAA algorithms and the human-in-the-loop. The HCI design will be able to incorporate multiple UAS. The system will provide efficient control for self-separation, as well as collision avoidance. The UI display and controls will be built after empirical human factor design. The system will incorporate DAA algorithms available at UtopiaCompression but will be able to integrate other DAA algorithms as well. The proposed system will address a significant need for reliable collaboration with DAA algorithms by the remote human operator paving the way for UAS operation in a crowded airspace.