Electrical and Computer Engineering
3D Threat Detection using Virtual-Environment Assisted Deep Network Training
Our Machine Intelligence Computer Vision and 3D (MICV3D) research into 2D and 3D live video object detection and tracking using Artificial Intelligence is applicable to a variety of real-world applications. These projects are translated into practice in two Navy applications. The first application is the automated testing of airborne countermeasures using video and AI. The second interdisciplinary project between Electrical and Computer Engineering (ECE) and Media Arts and Science (MAS) provides analysis metrics to understand the combining of real-world and virtual-world ground truth data for training AI detection and tracking. These AI methods also are applicable to Indiana Department of Transportation in detection and tracking automobiles for real-time traffic monitoring.