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Inside a cleanroom laboratory, NPS researchers Leonardo Herrera, Jae Jun Kim, and Brij Agrawal (left to right) stand to the side of the invisible light pathway between the High Energy Laser Beam Control Research Testbed (HBCRT), rear view in foreground, and the range-in-a-box (RIAB), in background. The HBCRT replicates a laser weapon system (LWS) found aboard a ship, and the RIAB uses an optical bench and a miniature model to simulate a full-size drone in flight about 5 kilometers away. The researchers collected thousands of target images for AI training and development of an AI model that automates LWS target classification, pose estimation, aimpoint selection and aimpoint maintenance. (U.S. Navy photo by Javier Chagoya)
| Date Taken: | 02.04.2025 |
| Date Posted: | 02.12.2025 20:13 |
| Photo ID: | 8868835 |
| VIRIN: | 250204-D-AE587-1004 |
| Resolution: | 6000x4004 |
| Size: | 5.34 MB |
| Location: | MONTEREY, CALIFORNIA, US |
| Web Views: | 80 |
| Downloads: | 2 |
This work, NPS Develops AI Solution to Automate Drone Defense with High Energy Lasers [Image 2 of 2], by Javier Chagoya, identified by DVIDS, must comply with the restrictions shown on https://www.dvidshub.net/about/copyright.
NPS Develops AI Solution to Automate Drone Defense with High Energy Lasers
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