Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Stereo Visual Inertial Pose Estimation Based on Feedforward-Feedback
  Loops   In this paper, we present a novel stereo visual inertial pose estimation
method. Compared to the widely used filter-based or optimization-based
approaches, the pose estimation process is modeled as a control system.
Designed feedback or feedforward loops are introduced to achieve the stable
control of the system, which include a gradient decreased feedback loop, a
roll-pitch feed forward loop and a bias estimation feedback loop. This system,
named FLVIS (Feedforward-feedback Loop-based Visual Inertial System), is
evaluated on the popular EuRoc MAV dataset. FLVIS achieves high accuracy and
robustness with respect to other state-of-the-art visual SLAM approaches. The
system has also been implemented and tested on a UAV platform. The source code
of this research is public to the research community.

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The categories of this paper are: eess
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The categories of this paper are: cond-mat
32
The categories of this paper are: atom-ph
11
The categories of this paper are: hep-lat
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The categories of this paper are: nucl-ex
35
The categories of this paper are: mtrl-th
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The categories of this paper are: q-alg
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The categories of this paper are: adap-org
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The categories of this paper are: nlin
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The categories of this paper are: quant-ph
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The categories of this paper are: ao-sci
8
The categories of this paper are: hep-ex
3
The categories of this paper are: physics
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The categories of this paper are: stat
34
The categories of this paper are: chem-ph
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The categories of this paper are: patt-sol