Published 2020 | Version v1
Journal article

Radioactive Hot-spot Detection Using Unmanned Aerial Vehicle Surveillance

  • 1. Instituto Superior Técnico (Portugal)

Description

This work proposes a solution to identify the number of sources of radiation, as well as their respective intensities and locations based on data acquired by Global Positioning System (GPS) receivers and affordable radiological sensors, such as Geiger-M¨uller counters (GMC). An optimization algorithm is required to minimize the estimation error in terms of location, intensity and number of sources of radiation given all the intensity measurements acquired in different locations, taking into account the sensors' models, background radiation intensity values and noise. Experimental results were achieved in a laboratory with controlled sources of radiation. The solution was also tested with real data gathered by a GMC connected to a mobile phone with a software application developed by the authors to synchronize the sensor readings with GPS data. The sensor and the mobile phone are attached to a quadcopter flying over the scenario with sources of radiation. Key words: UAV / Radioactive Source / Radioactivity / Hotspot-Detection / Collimator

Availability note (English)

Available from https://www.epj-conferences.org/articles/epjconf/pdf/2020/01/epjconf_animma2019_06005.pdf; https://doaj.org/article/47d1bd0f5bcd406eb4d9036cb0711d95

Additional details

Publishing Information

Journal Title
EPJ. Web of Conferences
Journal Volume
225
Journal Page Range
vp.
ISSN
2100-014X

Conference

Title
International Conference on Advancements in Nuclear Instrumentation Measurement Methods and their Applications
Acronym
ANIMMA 2019
Dates
17-21 Jun 2019
Place
Portoroz (Slovenia)