Publication detail

Simulating UAS-Based Radiation Mapping on a Building Surface

LÁZNA, T. GÁBRLÍK, P. JÍLEK, T. BURIAN, F.

Original Title

Simulating UAS-Based Radiation Mapping on a Building Surface

English Title

Simulating UAS-Based Radiation Mapping on a Building Surface

Type

conference paper

Language

en

Original Abstract

This paper discusses the mapping of ionizing radiation on building surfaces by using an unmanned aircraft system (UAS). The mapping task itself is important for the decommissioning of various nuclear facilities, for example, fuel processing sites or nuclear waste storage areas. The surface map can inform relevant authorities about the strength and distribution of radioactive sources inside an investigated building. The UAS is employed for the given purpose thanks to its many advantages, such as low price and the possibility of approaching a surface closely; moreover, the applied technique enables the user to create a 3D model of the target via such means as aerial photogrammetry. We set up an approximate model of a real building within our university campus, capturing the inner structures and subdividing the examined area into partial sectors, or groups, according to the construction materials; this criterion is relevant for simulating radiation propagation. The choice of the actual study location allows future experimental verification of the proposed methods; moreover, we can work with authentic photogrammetric products obtained during previous flights. In the project, two surface mapping methods are designed and tested on the simulated scenario, which assumes several radiation sources inside the building. One of the techniques simply assigns the measured value to the nearest point of the photogrammetric building model, while the other considers also rough information on the position of the sources to estimate the surface intensity more precisely. For better interpretation, the scattered data points are interpolated. Finally, the results of both approaches are compared with the computed reference map.

English abstract

This paper discusses the mapping of ionizing radiation on building surfaces by using an unmanned aircraft system (UAS). The mapping task itself is important for the decommissioning of various nuclear facilities, for example, fuel processing sites or nuclear waste storage areas. The surface map can inform relevant authorities about the strength and distribution of radioactive sources inside an investigated building. The UAS is employed for the given purpose thanks to its many advantages, such as low price and the possibility of approaching a surface closely; moreover, the applied technique enables the user to create a 3D model of the target via such means as aerial photogrammetry. We set up an approximate model of a real building within our university campus, capturing the inner structures and subdividing the examined area into partial sectors, or groups, according to the construction materials; this criterion is relevant for simulating radiation propagation. The choice of the actual study location allows future experimental verification of the proposed methods; moreover, we can work with authentic photogrammetric products obtained during previous flights. In the project, two surface mapping methods are designed and tested on the simulated scenario, which assumes several radiation sources inside the building. One of the techniques simply assigns the measured value to the nearest point of the photogrammetric building model, while the other considers also rough information on the position of the sources to estimate the surface intensity more precisely. For better interpretation, the scattered data points are interpolated. Finally, the results of both approaches are compared with the computed reference map.

Keywords

Radiation mapping; Simulation; UAS; Aerial photogrammetry

Released

30.04.2020

Publisher

Springer International Publishing

Location

Cham

ISBN

978-3-030-43890-6

Book

Modelling and Simulation for Autonomous Systems

Pages from

130

Pages to

147

Pages count

18

URL

BibTex


@inproceedings{BUT163929,
  author="Tomáš {Lázna} and Petr {Gábrlík} and Tomáš {Jílek} and František {Burian}",
  title="Simulating UAS-Based Radiation Mapping on a Building Surface",
  annote="This paper discusses the mapping of ionizing radiation on building surfaces by using an unmanned aircraft system (UAS). The mapping task itself is important for the decommissioning of various nuclear facilities, for example, fuel processing sites or nuclear waste storage areas. The surface map can inform relevant authorities about the strength and distribution of radioactive sources inside an investigated building. The UAS is employed for the given purpose thanks to its many advantages, such as low price and the possibility of approaching a surface closely; moreover, the applied technique enables the user to create a 3D model of the target via such means as aerial photogrammetry. We set up an approximate model of a real building within our university campus, capturing the inner structures and subdividing the examined area into partial sectors, or groups, according to the construction materials; this criterion is relevant for simulating radiation propagation. The choice of the actual study location allows future experimental verification of the proposed methods; moreover, we can work with authentic photogrammetric products obtained during previous flights. In the project, two surface mapping methods are designed and tested on the simulated scenario, which assumes several radiation sources inside the building. One of the techniques simply assigns the measured value to the nearest point of the photogrammetric building model, while the other considers also rough information on the position of the sources to estimate the surface intensity more precisely. For better interpretation, the scattered data points are interpolated. Finally, the results of both approaches are compared with the computed reference map.",
  address="Springer International Publishing",
  booktitle="Modelling and Simulation for Autonomous Systems",
  chapter="163929",
  doi="10.1007/978-3-030-43890-6_11",
  howpublished="online",
  institution="Springer International Publishing",
  year="2020",
  month="april",
  pages="130--147",
  publisher="Springer International Publishing",
  type="conference paper"
}