Projects
ACORN standardizes and automates the research content creation process to better communicate projects, capabilities, technology and, therefore, the people at ORNL.
Many geoscience applications use high-resolution gravity maps for functions such as sea level measurements and in exploring earth's underground forces.
ORNL's Autonomous Systems Group provides uncrewed vehicle systems research, development, engineering, and operations in support of national security missions.
Controller Area Network + Transport Security Tracking and Reporting (C-STAR) is a complete physical and vehicle system security package for transportation companies to monitor vehicle and sensor functions to detect problems preventing a safe arrival.
Controller Area Network (CAN) intrusion detection is a monitoring system to detect and possibly prevent intrusion into a vehicle's CAN to prevent tampering or disabling.
DriverID enables continuous heavy duty vehicle driver authentication using only vehicle sensor data. This allows data gathering for a better picture of the transport situation, improving driver and sensitive cargo safety.
The Global Evaluation, Analysis, Research, and Security (GEARS) facility allows researchers to design, install, and test new technology to support transport security of nuclear and radioactive materials.
LandScan is the first global population dataset for human dynamics and distribution modeling. LandScan provides a data-driven picture of daily human location data to aid in emergency and disaster response, preparedness and consequence assessment.
Magnetic resonance imaging (MRI) has cross-disciplinary experimental capabilities applicable to national security sciences, from component and machine design to environmental fluid dynamics.
Digital Nautical Charts (DNC) and Electronic Navigational Charts (ENC) are globally comprehensive vector datasets used for maritime navigation in vessels of all sizes and purposes.
Neighborhood mapping combines machine learning and demography to develop regionalizations at scale across geographic regions. This helps gain insights into an area's underlying structure, processes, communities, and socioeconomics.
PIPE is a novel workflow designed to handle the complexity and scale of high-dimensional satellite imagery data needs by focusing on functional parity, performance, and portability.
PlanetSense SeGraph technology conflates point-of-interest (POI) data with ground-level image data sets to help improve disaster response, critical infrastructure resilience, and land-use mapping.
The Radiation Inspections Systems Team (RIST) tests and optimizes radiation detection systems, from handheld background survey meters to advanced spectroscopic portal monitors and mobile systems.
SANSR, ORNL's network flow analysis method, indicates a system's role based upon the amount of traffic it generates and consumes for well-known services. SANSR operates on previously collected data in most enterprises.
Situ is a patented platform which combines anomaly detection and data visualization to provide a distributed, streaming platform for discovery and explanation of suspicious behavior to enhance situation awareness.
ORNL's Autonomous Systems Group offers self-suffcient, rapidly deployable mobile command centers, co-located scientists, and multiple specialists to operationalize one of the most diverse uncrewed aerial system (UAS) fleets in the world.