The detection, identification, and localization of illicit radiological and nuclear material continue to be key components of nuclear non-proliferation and nuclear security efforts around the world. Networks of radiation detectors deployed at strategic locations in urban environments have the potential to provide continuous radiological/nuclear (R/N) surveillance and provide high probabilities of intercepting threat sources. The integration of contextual information from sensors such as video, Lidar, and meteorological sensors can provide significantly enhanced situational awareness, and improved detection and localization performance through the fusion of the radiological and contextual data. In this work, we present details of our work to establish a city-scale multi-sensor network testbed for intelligent, adaptive R/N detection in urban environments, and develop new techniques that enable city-scale source detection, localization, and tracking.
Cite
@article{arxiv.2307.13811,
title = {Networked Sensing for Radiation Detection, Localization, and Tracking},
author = {R. J. Cooper and N. Abgrall and G. Aversano and M. S. Bandstra and D. Hellfeld and T. H. Joshi and V. Negut and B. J. Quiter and E. Rofors and M. Salathe and K. Vetter and P. Beckman and C. Catlett and N. Ferrier and Y. Kim and R. Sankaran and S. Shahkarami and S. Amitkumar and E. Ayton and J. Kim and S. Volkova},
journal= {arXiv preprint arXiv:2307.13811},
year = {2023}
}