Optimizing the Localization of Gamma Radiation Point Sources using a UGV
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU128149" target="_blank" >RIV/00216305:26220/18:PU128149 - isvavai.cz</a>
Výsledek na webu
<a href="https://ieeexplore.ieee.org/document/8398368/" target="_blank" >https://ieeexplore.ieee.org/document/8398368/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ELEKTRO.2018.8398368" target="_blank" >10.1109/ELEKTRO.2018.8398368</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Optimizing the Localization of Gamma Radiation Point Sources using a UGV
Popis výsledku v původním jazyce
The paper is concerned with the autonomous robotic measurement of gamma radiation and the localization of its sources. The objective is to find techniques that allow faster localization compared to mapping along parallel lines. To achieve this, an unmanned ground vehicle (UGV) is utilized; the device is equipped with a sensitive dual-probe radiation detection system and a module for precise self-localization and navigation. The suggested solution involves exploring the region of interest along circular trajectories and estimating the sources' parameters, the coordinates in particular. The estimation accuracy is then increased using the Gauss-Newton method. The approach was verified through experiments in real conditions; the achieved result consists in a threefold decrease of the time requirement while the localization accuracy remains comparable to that acquired by the radiation mapping. The benefits of the presented research comprise the qualitative expansion of the radiation protection domain and also the applicability of several utilized algorithms in other fields or activities, including, for example, the autonomous robotic inspection of industrial facilities.
Název v anglickém jazyce
Optimizing the Localization of Gamma Radiation Point Sources using a UGV
Popis výsledku anglicky
The paper is concerned with the autonomous robotic measurement of gamma radiation and the localization of its sources. The objective is to find techniques that allow faster localization compared to mapping along parallel lines. To achieve this, an unmanned ground vehicle (UGV) is utilized; the device is equipped with a sensitive dual-probe radiation detection system and a module for precise self-localization and navigation. The suggested solution involves exploring the region of interest along circular trajectories and estimating the sources' parameters, the coordinates in particular. The estimation accuracy is then increased using the Gauss-Newton method. The approach was verified through experiments in real conditions; the achieved result consists in a threefold decrease of the time requirement while the localization accuracy remains comparable to that acquired by the radiation mapping. The benefits of the presented research comprise the qualitative expansion of the radiation protection domain and also the applicability of several utilized algorithms in other fields or activities, including, for example, the autonomous robotic inspection of industrial facilities.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20204 - Robotics and automatic control
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
2018 ELEKTRO
ISBN
978-1-5386-4758-5
ISSN
—
e-ISSN
—
Počet stran výsledku
6
Strana od-do
1-6
Název nakladatele
Neuveden
Místo vydání
Neuveden
Místo konání akce
Mikulov
Datum konání akce
21. 5. 2018
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000468327400129