Onboard Autonomy for Sensing works to enable autonomous ISR operations to reduce or eliminate the required transmission of data in environments where electromagnetic emissions would result in platform detection and geolocation. We also strive to reduce the need for human analysts to manually review large amounts of data, and to enable persistence and endurance while protecting humans from danger by providing the means for continual autonomous collection of high value-data.
- Capabilities that center around the automation of sensor identification and analysis
- The development and implementation of ground stations used for the management and analysis of various airborne and space-borne sensors
- Autonomous tasking and scheduling for single platform, multi-sensor systems
- Development of effective sensor tasking, scheduling, and cross-cueing algorithms
- Optimized tasking and scheduling for distributed, multi-platform cooperative sensing systems to ensure limited sensing assets can be used efficiently to support mission needs
- Machine learning algorithms that can train on little to no data, or on synthetically-produced data