Artificial Intelligence and Machine Learning-Based Autonomous Mission Planning for Intelligence, Surveillance, and Reconnaissance (ISR) Missions

ABSTRACT: Create of a standalone UAV mission planer and simulator that advances fully autonomous UAV operations by providing a scalable mission development environment that generates downloadable mission and CONOPS packages. The envisioned system includes a development environment, a mission simulation environment, a simulation testbed, and an onboard embedded system. This development environment with hardware simulation [software emulators on highly integrated System on Chip packages] enables real-time mission rehearsals. Dynamic Artificial Intelligence (DAI™) software optimizes mission profiles by integrating DAI™ based contingency resolutions into specific missions. Because the ultimate goal is to provide fully autonomous mission actions at machine speed, this research project integrates an evaluation of the flight computing hardware and software.