Abstract
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.
Original language | English (US) |
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Article number | 012125 |
Journal | Journal of Physics: Conference Series |
Volume | 2586 |
Issue number | 1 |
DOIs | |
State | Published - 2023 |
Event | 28th International Nuclear Physics Conference, INPC 2022 - Cape Town, South Africa Duration: Sep 11 2022 → Sep 16 2022 |
Funding
This work was performed under the auspices of the U.S. Department of Energy by Lawrence Berkeley National Laboratory (LBNL) under Contract DE-AC02-05CH11231. The project was funded by the U.S. Department of Energy, National Nuclear Security Administration, Office of Defense Nuclear Nonproliferation Research and Development.
ASJC Scopus subject areas
- General Physics and Astronomy