The artificial landmark design for mobile robots localization and mapping
Nowadays the big challenge in simultaneous localization and mapping (SLAM) of mobile robots is the creation of efficient and robust algorithms. Big amount of SLAM methods use computer vision for extraction of unique environment features from camera images (feature-based approach). In some cases, art...
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| Format: | Article |
| Language: | English |
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FRUCT
2015-04-01
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| Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| Subjects: | |
| Online Access: | https://www.fruct.org/publications/fruct17/files/Hul.pdf
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| _version_ | 1818271077257707520 |
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| author | Arthur Huletski Dmitriy Kartashov Kirill Krinkin |
| author_facet | Arthur Huletski Dmitriy Kartashov Kirill Krinkin |
| author_sort | Arthur Huletski |
| collection | DOAJ |
| description | Nowadays the big challenge in simultaneous localization and mapping (SLAM) of mobile robots is the creation of efficient and robust algorithms. Big amount of SLAM methods use computer vision for extraction of unique environment features from camera images (feature-based approach). In some cases, artificial landmarks are being used to simplify environment markup (landmark-based approach). In this paper we introduce a new QR-like color artificial landmark design and algorithm for fast detecting and tracking them in arbitrary images. |
| first_indexed | 2024-12-12T21:20:26Z |
| format | Article |
| id | doaj.art-3e6f73ceb08e4e1597e51badba1e3a29 |
| institution | Directory Open Access Journal |
| issn | 2305-7254 2343-0737 |
| language | English |
| last_indexed | 2024-12-12T21:20:26Z |
| publishDate | 2015-04-01 |
| publisher | FRUCT |
| record_format | Article |
| series | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| spelling | doaj.art-3e6f73ceb08e4e1597e51badba1e3a292022-12-22T00:11:35ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372015-04-0138817566110.1109/FRUCT.2015.7117971The artificial landmark design for mobile robots localization and mappingArthur Huletski0Dmitriy Kartashov1Kirill Krinkin2The Academic University, Saint-Petersburg, RussiaThe Academic University, Saint-Petersburg, RussiaSt.Petersburg State Electrotechnical University "LETI", St.Petersburg, RussiaNowadays the big challenge in simultaneous localization and mapping (SLAM) of mobile robots is the creation of efficient and robust algorithms. Big amount of SLAM methods use computer vision for extraction of unique environment features from camera images (feature-based approach). In some cases, artificial landmarks are being used to simplify environment markup (landmark-based approach). In this paper we introduce a new QR-like color artificial landmark design and algorithm for fast detecting and tracking them in arbitrary images.https://www.fruct.org/publications/fruct17/files/Hul.pdf Robot localizationArtificial LandmarksSLAMMobile Robots |
| spellingShingle | Arthur Huletski Dmitriy Kartashov Kirill Krinkin The artificial landmark design for mobile robots localization and mapping Proceedings of the XXth Conference of Open Innovations Association FRUCT Robot localization Artificial Landmarks SLAM Mobile Robots |
| title | The artificial landmark design for mobile robots localization and mapping |
| title_full | The artificial landmark design for mobile robots localization and mapping |
| title_fullStr | The artificial landmark design for mobile robots localization and mapping |
| title_full_unstemmed | The artificial landmark design for mobile robots localization and mapping |
| title_short | The artificial landmark design for mobile robots localization and mapping |
| title_sort | artificial landmark design for mobile robots localization and mapping |
| topic | Robot localization Artificial Landmarks SLAM Mobile Robots |
| url | https://www.fruct.org/publications/fruct17/files/Hul.pdf
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