AI system that autonomously recovers fighter aircraft from ground collision trajectory without pilot input. Uses terrain database and AI state estimation to take over control.
AutoGCAS detects controlled flight into terrain scenarios by comparing aircraft state data against a pre-computed envelope of recoverable trajectories, triggering an autonomous recovery pull-up when the aircraft is within 2 to 5 seconds of terrain impact. The system has overcome significant institutional resistance from pilots who were uncomfortable with an AI system overriding their control inputs, and its acceptance was driven by the clarity of its life-saving record. AutoGCAS is now considered a standard safety system and its deployment on the F-35 represents a particularly critical application given the F-35's advanced sensor fusion and its operation in low-visibility conditions.
Saved 11 F-16 pilot lives by 2020; deployed on F-16, F-35, and F-22; credited with preventing multiple USAF aircraft losses
Lockheed Martin (LMT) and NASA jointly developed AutoGCAS. The system's integration into F-35 supports Lockheed Martin's position as the provider of the most comprehensive AI-augmented fighter platform in the world.