Multi-Platform 3-D Radiation Mapping with Enhanced Sensor Data Fusion and Visualization

Mapping radiological and nuclear materials over large areas in the context of potential structural and battlefield damage with minimum risk to the Warfighter remains a challenge in the defense community. The current state-of-the-art radiation detection systems require multiple stationary measurements to produce multiple images of large areas in 2D. This project will leverage recent advancements in 3D radiation mapping and data fusion to enable enhanced CONOPS for mapping radioactive sources over large areas using multiple manned and unmanned systems. We will utilize the 3D Scene Data Fusion technology, which enables the full scene reconstruction and the localization of radiological sources in 3D and in real-time, providing high sensitivity and accuracy in the detection and identification of radioactive sources while providing contextual information critical for situational awareness. Using the multi-sensor, 3D, real-time radiation mapping Localization and Mapping Platform (LAMP) as a foundation, this project will develop a software architecture for simultaneous multi-system radiation mapping and fusion of multiple 3D maps to produce a single, global map. If successful, this project will provide new means in the effective deployment of multiple 3D radiation mapping and data fusion systems in critical and complex environments while minimizing time, cost, and risks to the Warfighter.