Proximity-Based Sensor Fusion of Depth Cameras and Isotropic Rad-Detectors

Henderson, Kristofer; Liu, Xiaomeng; Stadnikia, Kelsey; Martin, Allan; Enqvist, Andreas; Koppal, Sanjeev J.

doi:10.1109/tns.2020.2967214

Cited by 6 publications

(4 citation statements)

References 43 publications

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“…Mapping can and has been demonstrated with both structured light 15 , 17 and lidar sensors 18 , 19 . Similar work has also been demonstrated, including lidar-based SLAM with a mobile ground-robot 22 , offline photogrammetry (in place of SLAM) for ground-based 23 and airborne systems 24 , as well as object detection, tracking and source attribution in visual and lidar data for static systems 25 , 26 .…”

Section: Introductionmentioning

confidence: 65%

Free-moving Quantitative Gamma-ray Imaging

Hellfeld

Bandstra

Vavrek

et al. 2021

Sci Rep

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The ability to map and estimate the activity of radiological source distributions in unknown three-dimensional environments has applications in the prevention and response to radiological accidents or threats as well as the enforcement and verification of international nuclear non-proliferation agreements. Such a capability requires well-characterized detector response functions, accurate time-dependent detector position and orientation data, a digitized representation of the surrounding 3D environment, and appropriate image reconstruction and uncertainty quantification methods. We have previously demonstrated 3D mapping of gamma-ray emitters with free-moving detector systems on a relative intensity scale using a technique called Scene Data Fusion (SDF). Here we characterize the detector response of a multi-element gamma-ray imaging system using experimentally benchmarked Monte Carlo simulations and perform 3D mapping on an absolute intensity scale. We present experimental reconstruction results from hand-carried and airborne measurements with point-like and distributed sources in known configurations, demonstrating quantitative SDF in complex 3D environments.

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Section: Introductionmentioning

confidence: 65%

Free-moving Quantitative Gamma-ray Imaging

Hellfeld

Bandstra

Vavrek

et al. 2021

Sci Rep

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“…Although technologies have seen continued advancement over recent decades, following the March 2011 accident at Japan's Fukushima Daiichi Nuclear Power Plant (FDNPP)notable advancements in the unmanned aerial vehicle (UAV) [9][10][11], unmanned ground vehicle (UGV) [12,13], and static/mobile distributed detection systems [14] were realized. Even years after this driver, progress continues across radiation detection, localization, and mapping, whether in underpinning detector materials research (e.g., novel plastics, high-dose semiconductors, dual gammaneutron scintillators) [15][16][17][18]; innovative, autonomous, and miniaturized deployment mechanisms [19][20][21]; or sensor-fusion/data visualization methodologies, progressing from 2D to 3D scenarios [22][23][24][25][26][27]. This research is not just occurring at a small number of institutions and laboratories, but it is a promising and increasingly cross-disciplinary area of active research around the world, applicable for nuclear plant decommissioning, nuclear security, and safeguards applications, whether or not in accident response [25].…”

Section: Radiation Detection Localisation and Mappingmentioning

confidence: 99%

Implementation of Novel Evolutional Algorithm for 3-Dimensional Radiation Mapping and Gamma-Field Reconstruction within the Chornobyl Sarcophagus

Saveliev

Pantin

Skiter³

et al. 2023

Algorithms

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This work presents the application of a novel evolutional algorithmic approach to determine and reconstruct the specific 3-dimensional source location of gamma-ray emissions within the shelter object, the sarcophagus of reactor Unit 4 of the Chornobyl Nuclear Power Plant. Despite over 30 years having passed since the catastrophic accident, the high radiation levels combined with strict safety and operational restrictions continue to preclude many modern radiation detection and mapping systems from being extensively or successfully deployed within the shelter object. Hence, methods for reconstructing the intense and evolving gamma fields based on the limited inventory of available data are crucially needed. Such data is particularly important in planning the demolition of the unstable structures that comprise the facility, as well as during the prior operations to remove fuel containing materials from inside the sarcophagus and reactor Unit 4. For this approach, a simplified model of gamma emissions within the shelter object is represented by a series of point sources, each regularly spaced on the shelter object’s exterior surface, whereby the calculated activity values of these discrete sources are considered as a population in terms of evolutionary algorithms. To assess the numerical reconstruction, a fitness function is defined, comprising the variation between the known activity values (obtained during the commissioning of the New Safe Confinement at the end of 2019 on the level of the main crane system, located just below the arch above the shelter object) and the calculated values at these known locations for each new population. The final algorithm’s performance was subsequently verified using newly obtained information on the gamma dose-rate on the roof of the shelter object during radiation survey works at the end of 2021. With only 7000 iterations, the algorithm attained an MAPE percentage error of less than 23%, which the authors consider as satisfactory, considering that the relative error of the measurements is ±17%. While a simple initial application is presented in this work, it is demonstrated that evolutional algorithms could be used for radiation mapping with an existing network of radiation sensors, or, as in this instance, based on historic gamma-field data.

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“…NCSU and the University of Florida also performed imaging experiments using optically stimulated luminescence dosimeters 100 and a system that utilized OS and Lidar. 101 Princeton University performed measurements with NaI for template matching to provide information barriers within treaty verification. 102,103 The University of Michigan performed Rossi-α measurements with OS and 3 He detector systems (shown in the bottom-right of Fig.…”

Section: Ivc University Consortia Measurementsmentioning

confidence: 99%

A New Era of Nuclear Criticality Experiments: The First 10 Years of Radiation Test Object Operations at NCERC

Hutchinson

Bounds

Cutler

et al. 2021

Nuclear Science and Engineering

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The work presented in this paper focuses on the first 10 years (2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018)(2019)(2020) of radiation test object (RTO) operations at the National Criticality Experiments Research Center. RTOs are subcritical configurations of special nuclear material that are built by hand. These configurations are utilized for benchmark experiments, detector testing/characterization, and training. An overview of the types of measurements used in RTO operations is given as well as a history of RTO operations at Los Alamos National Laboratory from 1944-2011.

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Proximity-Based Sensor Fusion of Depth Cameras and Isotropic Rad-Detectors

Cited by 6 publications

References 43 publications

Free-moving Quantitative Gamma-ray Imaging

Free-moving Quantitative Gamma-ray Imaging

Implementation of Novel Evolutional Algorithm for 3-Dimensional Radiation Mapping and Gamma-Field Reconstruction within the Chornobyl Sarcophagus

A New Era of Nuclear Criticality Experiments: The First 10 Years of Radiation Test Object Operations at NCERC

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