Autonomous radiation mapping and quantification using an unmanned ground vehicle Conference

Abrahao, A, Aucott, T, Alrashide, A et al. (2019). Autonomous radiation mapping and quantification using an unmanned ground vehicle . TRANSACTIONS OF THE AMERICAN NUCLEAR SOCIETY, 121 1597-1599. 10.13182/T31350

cited authors

  • Abrahao, A; Aucott, T; Alrashide, A; Adams, J; Zanlongo, S; McDaniel, D; Lagos, L

abstract

  • The research efforts outlined in this summary offers numerous benefits on both the research and the educational fronts. In addition to providing STEM minority students from FIU with the opportunity to enhance their knowledge, skillsets and potentially preparing them to embrace the future DOE-EM workforce, the project also offers an engineering and research solution for the DOE-EM complex. This includes delivering an advanced field deployable characterization system designed to be customized and to autonomously support real-time missions involving (a) radiation mapping, quantification and rapid radiological source localization, and (b) enhanced physical, radiological and possible chemical characterization. A byproduct of the project will be a robust, upgradable, tested, open-source software framework for perception, localization, mapping, data fusion, gamma-image reconstruction, adaptative sampling, and autonomous driving.

publication date

  • January 1, 2019

Digital Object Identifier (DOI)

start page

  • 1597

end page

  • 1599

volume

  • 121