Form of presentation | Conference proceedings in international journals and collections |
Year of publication | 2017 |
Язык | английский |
|
Afanasev Ilya Mikhaylovich, author
Magid Evgeniy Arkadevich, author
|
Bibliographic description in the original language |
Buyval A., Afanasyev I., Magid E. Comparative analysis of ROS-based monocular SLAM methods for indoor navigation // Ninth International Conference on Machine Vision (Nice, France; 18-20 November 2016) - p. 103411K-103411K-6. |
Annotation |
Proceedings of SPIE - The International Society for Optical Engineering |
Keywords |
Monocular SLAM, localization and mapping, ROS, indoor navigation |
The name of the journal |
Proceedings of SPIE - The International Society for Optical Engineering
|
URL |
https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10341/103411K/Comparative-analysis-of-ROS-based-monocular-SLAM-methods-for-indoor/10.1117/12.2268809.full?SSO=1 |
Please use this ID to quote from or refer to the card |
https://repository.kpfu.ru/eng/?p_id=257529&p_lang=2 |
Resource files | |
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Full metadata record |
Field DC |
Value |
Language |
dc.contributor.author |
Afanasev Ilya Mikhaylovich |
ru_RU |
dc.contributor.author |
Magid Evgeniy Arkadevich |
ru_RU |
dc.date.accessioned |
2017-01-01T00:00:00Z |
ru_RU |
dc.date.available |
2017-01-01T00:00:00Z |
ru_RU |
dc.date.issued |
2017 |
ru_RU |
dc.identifier.citation |
Buyval A., Afanasyev I., Magid E. Comparative analysis of ROS-based monocular SLAM methods for indoor navigation // Ninth International Conference on Machine Vision (Nice, France; 18-20 November 2016) - p. 103411K-103411K-6. |
ru_RU |
dc.identifier.uri |
https://repository.kpfu.ru/eng/?p_id=257529&p_lang=2 |
ru_RU |
dc.description.abstract |
Proceedings of SPIE - The International Society for Optical Engineering |
ru_RU |
dc.description.abstract |
This paper presents a comparison of four most recent ROS-based monocular SLAM-related methods: ORB-SLAM, REMODE, LSD-SLAM, and DPPTAM, and analyzes their feasibility for a mobile robot application in indoor environment. We tested these methods using video data that was recorded from a conventional wide-angle full HD webcam with a rolling shutter. The camera was mounted on a human-operated prototype of an unmanned ground vehicle, which followed a closed-loop trajectory. Both feature-based methods (ORB-SLAM, REMODE) and direct SLAM-related algorithms (LSD-SLAM, DPPTAM) demonstrated reasonably good results in detection of volumetric objects, corners, obstacles and other local features. However, we met difficulties with recovering typical for offices homogeneously colored walls, since all of these methods created empty spaces in a reconstructed sparse 3D scene. This may cause collisions of an autonomously guided robot with unfeatured walls and thus limits applicability of maps, which are obtained by the considered monocular SLAM-related methods for indoor robot navigation. |
ru_RU |
dc.language.iso |
ru |
ru_RU |
dc.subject |
Monocular SLAM |
ru_RU |
dc.subject |
localization and mapping |
ru_RU |
dc.subject |
ROS |
ru_RU |
dc.subject |
indoor navigation |
ru_RU |
dc.title |
Comparative analysis of ROS-based monocular SLAM methods for indoor navigation |
ru_RU |
dc.type |
Conference proceedings in international journals and collections |
ru_RU |
|