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Researchers at the Naval Postgraduate School (NPS) have developed an AI-powered targeting solution to enhance the effectiveness of Laser Weapon Systems (LWS) against uncrewed autonomous systems (UAS), or drones. This breakthrough aims to bolster shipboard defences as drone threats continue to rise.
The project, conducted in collaboration with Naval Surface Warfare Center Dahlgren Division, Lockheed Martin, Boeing, and the Air Force Research Laboratory (AFRL), automates critical targeting processes. AI algorithms assist with target classification, pose estimation, aimpoint selection, and aimpoint maintenance, drastically reducing the time required to neutralize hostile drones.
Traditional LWS require manual tracking and engagement, which can be slow and challenging, especially against drone swarms. The AI integration enables faster, more accurate targeting, improving reaction times in dynamic combat situations. Researchers trained the AI model using extensive drone image datasets before validating it at NPS and transitioning it to Dahlgren for field testing.
Supported by the Joint Directed Energy Transition Office (DE-JTO) and the Office of Naval Research (ONR), this technology aligns with the Chief of Naval Operations (CNO) NAVPLAN. Future developments may include radar integration, expanded datasets, and multi-platform deployment, strengthening the Navy’s defensive capabilities against emerging threats