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dc.date.accessioned | 2019-01-22T20:36:54Z | |
dc.date.available | 2019-01-22T20:36:54Z | |
dc.date.issued | 2018 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.uri | https://dspace.kpfu.ru/xmlui/handle/net/147977 | |
dc.description.abstract | © Springer Nature Switzerland AG 2018. This paper presents our pilot study of experiments automation with a real robot in order to compare performance of different fiducial marker systems, which could be used in automated camera calibration process. We used Russian humanoid robot AR-601M and automated it’s manipulators for performing joint rotations. This paper is an extension of our previous work on ARTag, AprilTag and CALTag marker comparison in laboratory settings with large-sized markers that had showed significant superiority of CALTag system over the competitors. This time the markers were scaled down and placed on AR-601M humanoid’s palms. We automated experiments of marker rotations, analyzed the results and compared them with the previously obtained results of manual experiments with large-sized markers. The new automated pilot experiments, which were performed both in pure laboratory conditions and pseudo field environments, demonstrated significant differences with previously obtained manual experimental results: AprilTag marker system demonstrated the best performance with a success rate of 97,3% in the pseudo field environment, while ARTag was the most successful in the laboratory conditions. | |
dc.relation.ispartofseries | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | |
dc.subject | AprilTag | |
dc.subject | AR-601M | |
dc.subject | ARTag | |
dc.subject | CALTag | |
dc.subject | Experimental comparison | |
dc.subject | Fiducial marker systems | |
dc.subject | Humanoid robot | |
dc.title | Comparing fiducial markers performance for a task of a humanoid robot self-calibration of manipulators: A pilot experimental study | |
dc.type | Conference Paper | |
dc.relation.ispartofseries-volume | 11097 LNAI | |
dc.collection | Публикации сотрудников КФУ | |
dc.relation.startpage | 249 | |
dc.source.id | SCOPUS03029743-2018-11097-SID85053843104 |