| DC Field | Value | Language |
|---|
| dc.contributor.author | Bin Zhang | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2026-05-19T07:48:01Z | - |
| dc.date.available | 2026-05-19T07:48:01Z | - |
| dc.date.issued | 2026 | - |
| dc.identifier.citation | Bin Zhang. Multi-sensor fusion for mobile robot perception / Bin Zhang // Информационная безопасность : сборник материалов 62-й научной конференции аспирантов, магистрантов и студентов БГУИР, Минск, 13–17 апреля 2026 г. / Белорусский государственный университет информатики и радиоэлектроники ; редкол.: С. В. Дробот (гл. ред.) [и др.]. – Минск, 2026. – С. 216–218. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/63733 | - |
| dc.description.abstract | This paper presents a multi-sensor fusion perception system to overcome key limitations of single-line LiDAR in mobile robots, including pose drift, vertical blind zones, and poor robustness against transparent surfaces or sensor failures. The proposed architecture integrates LiDAR-IMU tightly-coupled odometry, RGB-D camera-based 3D mapping using ORB-SLAM2, and ultrasonic near-field detection. The design is expected to improve positioning accuracy and environmental awareness in indoor scenarios. The work is currently at the design phase, with physical implementation planned for future research. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | БГУИР | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | 2D LiDAR | en_US |
| dc.subject | Raspberry Pi | en_US |
| dc.subject | obstacle avoidance | en_US |
| dc.subject | indoor mobile robot | en_US |
| dc.subject | LiDAR SLAM | en_US |
| dc.title | Multi-sensor fusion for mobile robot perception | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Информационная безопасность : материалы 62-й научной конференции аспирантов, магистрантов и студентов (2026)
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