Sensor Fusion Technology

Abstract

This project develops foundational technologies required for closed-loop autonomous sensing employing multiple information domains, diverse sensor phenomena, and multiple platform types to provide intelligence, surveillance, and reconnaissance; target recognition; situational awareness and battlespace visualization; fire control; and battle damage assessment capabilities against a wide variety of targets engaged in multitudes of behaviors in a broad range of operational environments. This project conducts exploratory investigations to determine technology feasibility and estimate operational capability constraints associated with missions in future contested and highly contested operating environments, using cooperative and non-cooperative sensing sources. This project develops techniques to automate multi-sensor exploitation and information processing that leverage the data fusion, adaptive signal processing, and artificial intelligence / machine learning research communities. This project develops concepts and algorithms for efficient parallel processing, distributed processing, and high-performance computing in sensor data processing and synthetic data generation. In FY 2020, efforts within this project are realigned to better reflect technical areas being emphasized such as autonomy, multi-domain and multi-sensor information processing, leverage of machine learning developments and enterprise-level modeling, simulation and analysis.

Document Details

• Document Type: Project
• Publication Date: Oct 01, 2020
• Source ID: 626095_0602204F_2_3600_PB_2020

Tags

Fields of Study

• Computer science

Readers

• Distributed Systems and Data Platform Development
• Military Science and Technology Research and Modernization.
• Sensor Fusion and Tracking Systems.

Technology Areas

• AI & ML
• AI & ML - DoD AI Strategy