Wide-Area Autonomous Maritime Target Detection and Classification (WAMTDC)

Abstract

WAMTDC is a FY 2023 new-start JCTD. The WAMTDC JCTD will develop a low-space, -weight and -power (SWAP) maritime sensing and automated processing capability for demonstration aboard an unmanned aircraft. While initially integrated within a Group Two Stalker Unmanned Aerial System (UAS), this capability will be broadly applicable for multiple follow-on UAS and fixed-wing platforms. The sensor package will feature ViDAR (Visual Detection and Ranging) for maritime search and Artificial Intelligence/Machine Learning (AI/ML)-enabled object detection capability, coupled with AI/ML-enabled Electro-Optical/Infrared (EO/IR) object classification capability. The addition of ViDAR will enable the UAS to search an area 300 times larger than a traditional EO/IR sensor alone. The onboard ML-based target detection and classification will be underpinned by a capability for Agile Model Refinement that provides the flexibility to identify new vessel signatures while deployed. This on-board contact classification will allow very low bandwidth contact reporting. This low-bandwidth contact reporting, when used in concert with an autonomous UAS, will be critical when operating unmanned systems in a contested electromagnetic and cyber environments.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2024
Source ID
189aae01c3bc5ae42fac768f7dda9677

Tags

Readers

  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Sensor Fusion and Tracking Systems.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - UAVs
  • Cyber
  • Cyber - Quantum
  • Space
  • Space - Satellites
  • Space - Space Objects

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