单目SLAM的多速率鲁棒尺度估计

Elhaouari Kobzili, C. Larbes, Ahmed Allam
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引用次数: 6

摘要

在过去的十年中,单眼同步定位和映射(mono-SLAM)作为姿态估计的另一种替代方案出现,但最后一种定位方法是按比例进行定位,并且由于深度评估的困难而受到尺度漂移的影响;然而,已经采取了几种方法来恢复规模并消除歧义。这两种方法都是为了得到准确的尺度因子而设计的,但大多数主题在尺度估计过程中没有考虑到鲁棒性。因此,在这种情况下,我们提出利用光滑变结构滤波器(SVSF)在多速率机制下寻找绝对尺度,以避免传感器之间复杂的同步,确保安全导航。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-rate robust scale estimation of monocular SLAM
In the last decade, monocular simultaneous localization and mapping (mono-SLAM) has appeared as another alternative for pose estimation, but this last gives a localization up to scale, and suffers from scale drift due to the difficulty of depth evaluation; however, several approaches had been tackled to recover the scale and take off the ambiguity. Both methods were designed to get the accurate scale factor, but most of themes didn't give importance to the robustness in scale estimation process. So, in this context, we propose to utilize the smooth variable structure filter (SVSF) to find the absolute scale, under a multi-rate mechanism with the purpose of avoiding complex synchronization between sensors and ensuring a safe navigation.
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