Publication detail

Robotic Localization of Radiological Sources

LÁZNA, T.

Original Title

Robotic Localization of Radiological Sources

English Title

Robotic Localization of Radiological Sources

Type

conference paper

Language

en

Original Abstract

The paper presents current means in the field of the autonomous robotic localization of gamma radiation sources. It introduces a method for speeding up the localization which is based on a partially direction-sensitive two-detector system and its limitations. In comparison with a referential radiation mapping, the method offers three times faster localization preserv-ing the similar accuracy. Finally, an integration of the results into the multi-robotic system ATEROS via the augmented reality is outlined.

English abstract

The paper presents current means in the field of the autonomous robotic localization of gamma radiation sources. It introduces a method for speeding up the localization which is based on a partially direction-sensitive two-detector system and its limitations. In comparison with a referential radiation mapping, the method offers three times faster localization preserv-ing the similar accuracy. Finally, an integration of the results into the multi-robotic system ATEROS via the augmented reality is outlined.

Keywords

radiological sources, mobile robot, GNSS, autonomous search, augmented reality

Released

26.04.2018

Publisher

Brno University of Technology, Faculty of Electrical Engineering and Communication

Location

Brno

ISBN

978-80-214-5614-3

Book

Proceedings of the 24th Conference STUDENT EEICT 2018

Edition number

1st

Pages from

373

Pages to

377

Pages count

5

Documents

BibTex


@inproceedings{BUT147215,
  author="Tomáš {Lázna}",
  title="Robotic Localization of Radiological Sources",
  annote="The paper presents current means in the field of the autonomous robotic localization of gamma radiation sources. It introduces a method for speeding up the localization which is based on a partially direction-sensitive two-detector system and its limitations. In comparison with a referential radiation mapping, the method offers three times faster localization preserv-ing the similar accuracy. Finally, an integration of the results into the multi-robotic system ATEROS via the augmented reality is outlined.",
  address="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  booktitle="Proceedings of the 24th Conference STUDENT EEICT 2018",
  chapter="147215",
  howpublished="online",
  institution="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  year="2018",
  month="april",
  pages="373--377",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  type="conference paper"
}