Autonomous Decision Support System for Sense and Avoid (ADeSSSA)

GreenSightrsquo;s ADeSSSA is a new sense and avoid system which enables autonomous decision making by UAVs of all sizes in order to actively sense, assess and avoid collisions. GreenSightrsquo;s approach uniquely fuses 360-degree visual sensing with acoustic and transponder sensing. While there have been research projects and some early commercial products which have explored this approach, none have created a verifiable framework which can be used to accurately guide autonomous systems. Point solutions, such as those using machine vision or ADS-B receivers, are in limited use but are not robust enough to support safety or mission-critical autonomous services. As a result, no currently available commercial systems provide effective sense and avoid for UAS. GreenSightrsquo;s ADeSSSA is a framework which combines multiple sensor modalities (visual, acoustic and transponder) into a probabilistic safety estimate. This information is used to feed autonomous decision systems on an aircraft and guide flight trajectory planning. ADeSSSA will be immediately relevant to small unmanned aircraft, and extensible in the future to more safety critical systems like self-piloting UAM aircraft.