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Updated: Jul 15, 2025

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基于形状的紧紧合的IMU/摄像头对象级SLAM

Ilyar Asl Sabbaghian Hokmabadi1, Mengchi Ai1, Naser El-Sheimy1

  • 1Department of Geomatics Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada.

Sensors (Basel, Switzerland)
|September 28, 2023
PubMed
概括

本研究介绍了一种使用Rao-Blackwellized Particle Filtering (RBPF) 的新型对象级同步定位和映射 (SLAM) 方法. 它通过利用对象形状和未延迟的初始化来实现精确的机器人定位,克服高斯错误假设和运动模型漂移的局限性.

关键词:
IMU/摄像机的融合方式在RBPF-SLAM中使用.从粗到细的姿势估计估计.在对象级的SLAM中.基于形状的姿势估计.紧紧地合在一起.没有延迟的初始化

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