Mosaic ATM, a leading innovator in unmanned aircraft system (UAS) technology, is excited to announce the successful field evaluation of its Drone ID prototype system, developed under a NASA Small Business Innovation Research (SBIR) program.
Mosaic ATM is pleased to announce that we’re kicking off a new NASA Phase I Small Business Innovation Research (SBIR) project!
Mosaic is thrilled to announce the selection of a NASA SBIR Phase II research project. In Phase II, Mosaic will continue work to improve Unmanned Aircraft System (UAS) and National Airspace System (NAS) safety. Risks posed by sUAS to manned aircraft continue to increase as sUAS operations expand. To improve Read more…
Mosaic has been developing a data management system called “Aerograph” which will calculate and provide key performance metrics and other data views to NASA and FAA researchers. With any luck, flight tests later this spring will include Joby Aviation’s aircraft.
Mosaic is excited to share that we have won another task within NASA’s Advanced Air Mobility National Campaign. We will be developing the software requirements for a new type of airport called a Vertiport. These Vertiports will facilitate the takeoff and landings of Advanced Air Mobility (AAM) aircraft designed to Read more…
Mosaic is thrilled to report that our paper “Validation of UAS Command and Control Link Switchover and Internetworking and Security Requirements” was selected as best of the session for Design Assurance 1 (Track 3) at the Digital Avionics Systems Conference held on Friday October 16th. Shout outs go to Mosaic Read more…
Designing and deploying machine vision is a powerful technology that humans can employ to improve their decision making. These deep learning and AI techniques are not easily developed, and trained data scientists need to be involved in the translation of analytics to business insights.
Computer vision is a powerful AI technique with vast business applications. In this white paper, Mosaic examines how to use machine vision for detecting airport layouts from the sky.
We have needed to be able to predict how long a flight will take to fly its trajectory. Quite often, it has been adequate and possible to use the outputs of one of our predictive analysis tools for this purpose. It predicts both the arrival time (ETA) as well as some intermediate times that we have used in a variety of other places.
Chris Brinton gave a talk on Un-crewed Aerial Systems as part of the “The Future of Weather in the Connected Cockpit” panel at the National Business Aviation Association’s Aviation Weather 2016 Fall Meeting, November 2, 2016, Orlando, FL.