Robotic Localization Of Radiological Sources
but.event.date | 26.04.2018 | cs |
but.event.title | Student EEICT 2018 | cs |
dc.contributor.author | Lazna, Tomas | |
dc.date.accessioned | 2019-03-04T10:05:53Z | |
dc.date.available | 2019-03-04T10:05:53Z | |
dc.date.issued | 2018 | cs |
dc.description.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 preserving the similar accuracy. Finally, an integration of the results into the multi-robotic system ATEROS via the augmented reality is outlined. | en |
dc.format | text | cs |
dc.format.extent | 373-377 | cs |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Proceedings of the 24th Conference STUDENT EEICT 2018. s. 373-377. ISBN 978-80-214-5614-3 | cs |
dc.identifier.isbn | 978-80-214-5614-3 | |
dc.identifier.uri | http://hdl.handle.net/11012/138259 | |
dc.language.iso | en | cs |
dc.publisher | Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.relation.ispartof | Proceedings of the 24th Conference STUDENT EEICT 2018 | en |
dc.relation.uri | http://www.feec.vutbr.cz/EEICT/ | cs |
dc.rights | © Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.rights.access | openAccess | en |
dc.subject | radiological sources | en |
dc.subject | mobile robot | en |
dc.subject | GNSS | en |
dc.subject | autonomous search | en |
dc.subject | augmented reality | en |
dc.title | Robotic Localization Of Radiological Sources | en |
dc.type.driver | conferenceObject | en |
dc.type.status | Peer-reviewed | en |
dc.type.version | publishedVersion | en |
eprints.affiliatedInstitution.department | Fakulta elektrotechniky a komunikačních technologií | cs |
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