ONR: Threat and Situational Understanding with Networked-Online Machine Intelligence (TSUNOMI), $13M

The Threat and Situational Understanding with Networked-Online Machine Intelligence (TSUNOMI) project receives $13M in total with congressional aid to the team of researchers from Saab and Purdue ICON. The project will develop an explainable machine learning framework with multimodal automatic target recognition and sensor resource management for early warning and situational awareness from surface vessels equipped with an automated verification and validation machine learning pipeline, and seeks to formulate effective techniques and algorithms to blend information from multiple sensors, such as cameras and radar, that have been deployed in an area to accurately identify objects that might enter that area.