Investigation of Detectors, Algorithms, and Systems (IDEAS) to Advance Autonomous Radiological/Nuclear Search.
Abstract
IDEAS to Advance Autonomous Radiological/Nuclear Search We propose an Investigation of Detectors, Algorithms, and Systems (IDEAS) to Advance Autonomous Radiological/Nuclear Search. It is not an objective of the proposed work to develop a specific detector nor a particular autonomous vehicle. Rather, our objective is to perform the research necessary to 1) establish the materials properties and fabrication techniques of gamma and neutron-sensitive organic scintillation materials suitable for structural use; 2) understand the methods by which said materials could be used by others to make detectors; and 3) advance associated algorithms; all with an investigative approach that is tailored and specialized to support autonomous radiological and nuclear search by one or more autonomous vehicles. Our organic scintillator study will increase knowledge and understanding aimed at improving the efficiency, energy resolution, and mechanical properties for gamma and neutron sensing. The physical, optical, and radiation properties of these scintillators will be characterized, and we will also investigate how detectors in selected geometries relevant to autonomous vehicles should be made in order to achieve desired detector performance specifications. We will also research and develop advanced algorithms relevant to search, localization, source identification, 3D mapping, source tracking, and dynamic path planning with autonomous vehicles. The proposed multidisciplinary study addresses DTRA s counter-WMD mission. Advancing the capabilities of unmanned vehicles is particularly important for warfighter protection, because these vehicles could enter areas that may be dangerous to them
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 23, 2018
- Source ID
- HDTRA11810005
Entities
People
- Jason Hayward
Organizations
- Defense Threat Reduction Agency
- University of Tennessee