|
Key Accomplishments:
Real-Time Multi-Modal Dataset for UAS Threat Detection
Developed a comprehensive data set incorporating real-time multi-modal data and sensor fusion techniques for enhanced Unmanned Aerial Systems (UAS) threat detection in crowded environments.
Successful Field Test of Unmanned Aerial Systems for Threat Detection
Tested and validated SENTRY unmanned aerial systems at Northeastern’s Kostas Research Institute (KRI) to ensure their effectiveness in protecting soft targets and crowded places through advanced threat detection.
Demonstration of GPS-Denied, Video-Denied, Drone Navigation
Successfully navigated a drone without GPS or camera assistance using the Radar Inertial Odometry system, showcasing its ability to operate in foggy or smoky conditions. Out of 12 tests, the system only missed detecting one person and maintained a zero false alarm rate.
|