Pathfinding for Airspace with Autonomous Vehicles (PAAV) + m:N TabletopThe Pathfinding for Airspace with Autonomous Vehicles (PAAV) project is investigating how to integrate increasingly autonomous aircraft into the current air traffic management system. The project aims to help develop airspace procedures and technologies that are scalable to future autonomous operations. The purpose of this brief is to inform a working group on past and future PAAV efforts. The working group specializes in "m:N" operations, which refers to remote operations where one or more ground-based pilots cooperatively control multiple unmanned aircraft. The PAAV team will detail an upcoming tabletop exercise that is designed to elicit feedback from subject matter experts on current barriers to m:N operations for unmanned cargo operations and potential solutions to those obstacles. The working group will be given an opportunity to provide feedback on the objectives and methodology to be used in the PAAV tabletop exercise.
Document ID
20220001927
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Arwa Aweiss (Ames Research Center Mountain View, California, United States)
Husni Idris (Ames Research Center Mountain View, California, United States)
Conrad Rorie (Ames Research Center Mountain View, California, United States)
Cynthia Wolter (San Jose State University San Jose, California, United States)
Wayne Bridges (Flight Research Associates, Inc. Moffett Field, CA)