Autonomous localization of multiple ionizing radiation sources using miniature single-layer Compton cameras onboard a group of micro aerial vehicles
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F24%3A00377180" target="_blank" >RIV/68407700:21230/24:00377180 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1109/IROS58592.2024.10802808" target="_blank" >https://doi.org/10.1109/IROS58592.2024.10802808</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IROS58592.2024.10802808" target="_blank" >10.1109/IROS58592.2024.10802808</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Autonomous localization of multiple ionizing radiation sources using miniature single-layer Compton cameras onboard a group of micro aerial vehicles
Popis výsledku v původním jazyce
A novel method for autonomous localization of multiple sources of gamma radiation using a group of Micro Aerial Vehicles (MAVs) is presented in this paper. The method utilizes an extremely lightweight (44 g) Compton camera Minipix Timepix3. The compact size of the detector allows for deployment onboard safe and agile small-scale UAVs. The proposed radiation mapping approach fuses measurements from multiple distributed Compton camera sensors to accurately estimate the positions of multiple radioactive sources in real time. Unlike commonly used intensity-based detectors, the Compton camera reconstructs the set of possible directions towards a radiation source from just a single ionizing particle. Therefore, the proposed approach can localize radiation sources without having to estimate the gradient of a radiation field or contour lines, which require longer measurements. The instant estimation is able to fully exploit the potential of highly mobile MAVs. The radiation mapping method is combined with an active search strategy, which coordinates the future actions of the MAVs in order to improve the quality of the estimate of the sources' positions, as well as to explore the area of interest faster. The proposed solution is evaluated in simulation and real-world experiments with multiple Cesium-137 radiation sources.
Název v anglickém jazyce
Autonomous localization of multiple ionizing radiation sources using miniature single-layer Compton cameras onboard a group of micro aerial vehicles
Popis výsledku anglicky
A novel method for autonomous localization of multiple sources of gamma radiation using a group of Micro Aerial Vehicles (MAVs) is presented in this paper. The method utilizes an extremely lightweight (44 g) Compton camera Minipix Timepix3. The compact size of the detector allows for deployment onboard safe and agile small-scale UAVs. The proposed radiation mapping approach fuses measurements from multiple distributed Compton camera sensors to accurately estimate the positions of multiple radioactive sources in real time. Unlike commonly used intensity-based detectors, the Compton camera reconstructs the set of possible directions towards a radiation source from just a single ionizing particle. Therefore, the proposed approach can localize radiation sources without having to estimate the gradient of a radiation field or contour lines, which require longer measurements. The instant estimation is able to fully exploit the potential of highly mobile MAVs. The radiation mapping method is combined with an active search strategy, which coordinates the future actions of the MAVs in order to improve the quality of the estimate of the sources' positions, as well as to explore the area of interest faster. The proposed solution is evaluated in simulation and real-world experiments with multiple Cesium-137 radiation sources.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20204 - Robotics and automatic control
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2024
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
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024)
ISBN
979-8-3503-7770-5
ISSN
2153-0858
e-ISSN
2153-0866
Počet stran výsledku
8
Strana od-do
5710-5717
Název nakladatele
IEEE
Místo vydání
Piscataway
Místo konání akce
Abu Dhabi
Datum konání akce
14. 10. 2024
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
001411890000581