AETEM
AI Enabled Tactical Edge for MUM-T
Provides a tactical edge by integrating AI platforms (for detection, identification, and generation), lightweight technologies, and data analytics.
Our research enhances Manned-Unmanned Teaming (MUM-T) weapon systems and advances capabilities in surveillance, reconnaissance, and command and control within the defense sector.
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영상 촬영
Capturing high-resolution imagery with EO/IR sensors on surveillance and reconnaissance drone
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EO/IR imagery
data transmission -
AETEM EdgeLight tactical vehicle
Performing AI-enabled detection, identification, and tracking of targets using surveillance data for humans, devices, and imagery obtained from EO/IR sensors
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Data
transmission -
AETEM MainCommand Control Center (CCC)
Analyzing and predicting data collected from AETEM Edge to support command decisions and visualizing battlefield information for effective decision-making
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AI-enabled target detection,
identification, and tracking -
SLAM-based
3D map generation -
3D simulator-based
data generation and augmentation -
Data-driven supporting for
battlefield decision-making
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Artificial intelligence-based
enemy detection, identification, and tracking technologyAI-powered enemy detection, identification, and tracking with EO/IR sensors on drones
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SLAM-based
3D map generationGenerating SLAM-based 3D maps with LiDAR and EO sensors on light tactical vehicles for precise terrain assessment and strategic planning
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3D simulator-based
data generation and augmentationCreating and augmenting data with a 3D simulator when real battlefield information is limited
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Data-driven supporting for
battlefield decision-makingEmpowering battlefield analytics with data-driven insights and command capabilities