AI for RPVs, Sensor Driven Airborne Replanner (SDAR), for a Robotic Aircraft Sensor Platform (RASP),
NAVAL AIR DEVELOPMENT CENTER WARMINSTER PA
Pagination or Media Count:
This report describes the Robotic Aircraft Sensor Platform RASP simulation developed at the Naval Air Development Center in Warminster, PA. It is extracted from the final report of a three year research effort into the architectures needed to develop real time Artificial Intelligence AI techniques for autonomous aircraft. A hardware and associated software architecture has been developed to use on-board sensor information for high level AI decision making. The decisions then direct the flight path of the aircraft and camera gimbal through complex environments. This project has produced a system architecture that breaks the bottleneck of flyable real-time AI control systems. The work has transitioned into three new efforts a flight test effort for the Unmanned Air Vehicle Joint Program Office, an investigation into use of SDAR for novel systems of sensors and platforms such as the Tactical Imaging System, and a study of applying this technology to manned platforms to assist human operators.
- Pilotless Aircraft