| DC Field | Value | Language |
|---|
| dc.contributor.author | Qiyao Yang | - |
| dc.contributor.author | Jun Ma | - |
| dc.contributor.author | Qicheng Guo | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2026-08-31T07:54:35Z | - |
| dc.date.available | 2026-08-31T07:54:35Z | - |
| dc.date.issued | 2026 | - |
| dc.identifier.citation | Qiyao Yang. Comparison of DSO and ORBSLAM3 in indoor environments using monocular visual slam / Qiyao Yang, Jun Ma, Qicheng Guo // Технологии передачи и обработки информации : материалы Международного научно-технического семинара, Минск, апрель 2026 г. / Белорусский государственный университет информатики и радиоэлектроники ; редкол.: В. Ю. Цветков [и др.]. – Минск, 2026. – С. 186–194. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/65616 | - |
| dc.description.abstract | This thesis comparatively studies ORB-SLAM3 (Oriented FAST and Rotated BRIEF
Simultaneous Localization and Mapping 3) and DSO (Direct Sparse Odometry) in indoor
environments. We validate local implementation on public datasets and analyze self-recorded
sequences from trajectory behavior, statistics, per-frame runtime, and mapping visualization.
Results show ORB-SLAM3 excels in pose estimation and real-time performance, while DSO offers
more informative semi-dense maps. Both degrade under low light/strong highlights with different
failure modes, showing complementarity. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | БГУИР | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | monocular SLAM | en_US |
| dc.subject | indoor localization | en_US |
| dc.subject | photometric calibration | en_US |
| dc.title | Comparison of DSO and ORBSLAM3 in indoor environments using monocular visual slam | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Технологии передачи и обработки информации : материалы Международного научно-технического семинара (2026)
|
