Data-Fusion for a Vision-Aided Radiological Detection System: Sensor dependence and Source Tracking

Data-Fusion for a Vision-Aided Radiological Detection System: Sensor dependence and Source Tracking

The University of Florida is taking a multidisciplinary approach to fuse the data between 3D vision sensors and radiological sensors in hopes of creating a system capable of not only detecting the presence of a radiological threat, but also tracking it. The key to developing such a vision-aided radi...

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Main Authors: Stadnikia Kelsey, Martin Allan, Henderson Kristofer, Koppal Sanjeev, Enqvist Andreas
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:EPJ Web of Conferences
Online Access:https://doi.org/10.1051/epjconf/201817007013
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spelling doaj-d4f19ee14a6946aa902499c6942707e02021-08-02T05:30:32ZengEDP SciencesEPJ Web of Conferences2100-014X2018-01-011700701310.1051/epjconf/201817007013epjconf_animma2018_07013Data-Fusion for a Vision-Aided Radiological Detection System: Sensor dependence and Source TrackingStadnikia KelseyMartin AllanHenderson KristoferKoppal SanjeevEnqvist AndreasThe University of Florida is taking a multidisciplinary approach to fuse the data between 3D vision sensors and radiological sensors in hopes of creating a system capable of not only detecting the presence of a radiological threat, but also tracking it. The key to developing such a vision-aided radiological detection system, lies in the count rate being inversely dependent on the square of the distance. Presented in this paper are the results of the calibration algorithm used to predict the location of the radiological detectors based on 3D distance from the source to the detector (vision data) and the detectors count rate (radiological data). Also presented are the results of two correlation methods used to explore source tracking.https://doi.org/10.1051/epjconf/201817007013
collection DOAJ
language English
format Article
sources DOAJ
author Stadnikia Kelsey
Martin Allan
Henderson Kristofer
Koppal Sanjeev
Enqvist Andreas
spellingShingle Stadnikia Kelsey
Martin Allan
Henderson Kristofer
Koppal Sanjeev
Enqvist Andreas
Data-Fusion for a Vision-Aided Radiological Detection System: Sensor dependence and Source Tracking
EPJ Web of Conferences
author_facet Stadnikia Kelsey
Martin Allan
Henderson Kristofer
Koppal Sanjeev
Enqvist Andreas
author_sort Stadnikia Kelsey
title Data-Fusion for a Vision-Aided Radiological Detection System: Sensor dependence and Source Tracking
title_short Data-Fusion for a Vision-Aided Radiological Detection System: Sensor dependence and Source Tracking
title_full Data-Fusion for a Vision-Aided Radiological Detection System: Sensor dependence and Source Tracking
title_fullStr Data-Fusion for a Vision-Aided Radiological Detection System: Sensor dependence and Source Tracking
title_full_unstemmed Data-Fusion for a Vision-Aided Radiological Detection System: Sensor dependence and Source Tracking
title_sort data-fusion for a vision-aided radiological detection system: sensor dependence and source tracking
publisher EDP Sciences
series EPJ Web of Conferences
issn 2100-014X
publishDate 2018-01-01
description The University of Florida is taking a multidisciplinary approach to fuse the data between 3D vision sensors and radiological sensors in hopes of creating a system capable of not only detecting the presence of a radiological threat, but also tracking it. The key to developing such a vision-aided radiological detection system, lies in the count rate being inversely dependent on the square of the distance. Presented in this paper are the results of the calibration algorithm used to predict the location of the radiological detectors based on 3D distance from the source to the detector (vision data) and the detectors count rate (radiological data). Also presented are the results of two correlation methods used to explore source tracking.
url https://doi.org/10.1051/epjconf/201817007013
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AT martinallan datafusionforavisionaidedradiologicaldetectionsystemsensordependenceandsourcetracking
AT hendersonkristofer datafusionforavisionaidedradiologicaldetectionsystemsensordependenceandsourcetracking
AT koppalsanjeev datafusionforavisionaidedradiologicaldetectionsystemsensordependenceandsourcetracking
AT enqvistandreas datafusionforavisionaidedradiologicaldetectionsystemsensordependenceandsourcetracking
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