Autonomous Decision Support System for Sense and Avoid (ADeSSSA)

GreenSight proposes ADeSSSA, the Autonomous Decision Support System for Sense and Avoid, a novel approach for unmanned aircraft sense and avoid, combining wide field of view visual sensors with acoustic sensing to improve the effectiveness of the resulting implementation while reducing its Size, Weight, Power and Cost implementation. GreenSight intends to use a mix of deep learning techniques to build an ideal classifier that ingests samples that combine thenbsp;visual and acoustic sensors into a visual representation.nbsp;ADS-B transponder data is incorporated as both a source of low-false positive data and as a filter to facilitate automated gathering of training data. ADeSSSA is designed to accommodate low SWaPC applications such as unmanned aircraft as small as 2kg, a niche that is currently unoccupied. There are no practical sense and avoid systems on the market for platforms this small, which is currently hurting the growth of the commercial UAS market, and slowing NASA and the FAA#39;s efforts to build an integrated next generation airspace which integrates these smaller aircraft. GreenSight maintains a network of over 100 automated UAS which currently operate daily in the US, Canada, Europe and Japan. Once ADeSSSA is ready for field use, GreenSight can immediately deploy the system to its entire network, instantly becoming the most widely deployed UAS SAA system in the world and enabling it to rapidly mature with extensive field testing to find and correct weaknesses in the implementation.