DC Field | Value | Language |
dc.contributor.author | Fang Yixuan | - |
dc.contributor.author | Wang Guoyan | - |
dc.contributor.author | Fan Hongqi | - |
dc.coverage.spatial | Минск | en_US |
dc.date.accessioned | 2025-09-08T05:58:01Z | - |
dc.date.available | 2025-09-08T05:58:01Z | - |
dc.date.issued | 2025 | - |
dc.identifier.citation | Fang Yixuan. Validation of ORB-SLAM2’s applicability across scenarios / Fang Yixuan, Wang Guoyan, Fan Hongqi // Информационная безопасность : сборник материалов 61-й научной конференции аспирантов, магистрантов и студентов БГУИР, Минск, 21–25 апреля 2025 г. / Белорусский государственный университет информатики и радиоэлектроники. – Минск, 2025. – С. 152–157. | en_US |
dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/61463 | - |
dc.description.abstract | This paper investigates the applicability of the ORB-SLAM2 across diverse scenarios
based on 51 sequences from three public datasets: TUM RGB-D, EuRoC, and КПТ1. Experimental
results reveal that while ORB-SLAM2 demonstrates strong robustness in dynamic environments, its
performance significantly deteriorates when encountering textureless regions, intense camera rotation, or
extensive planar areas. In most cases within the same scenario, the stereo configuration achieves higher
localization accuracy than the monocular mode. This study provides practical references for scene specific adaptability considerations in SLAM technology applications. | en_US |
dc.language.iso | en | en_US |
dc.publisher | БГУИР | en_US |
dc.subject | материалы конференций | en_US |
dc.subject | dynamic environments | en_US |
dc.subject | monocular | en_US |
dc.subject | stereo | en_US |
dc.subject | localization accuracy | en_US |
dc.title | Validation of ORB-SLAM2’s applicability across scenarios | en_US |
Appears in Collections: | Информационная безопасность : материалы 61-й научной конференции аспирантов, магистрантов и студентов (2025)
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