Method

Programmer's SLAM [st] [lc] [ProSLAM]
https://gitlab.com/srrg-software/srrg_proslam

Submitted on 20 Jan. 2019 22:24 by
Dominik Schlegel (Sapienza)

Running time:0.02 s
Environment:1 core @ 3.0 Ghz (C/C++)

Method Description:
Lightweight open-source stereo visual SLAM system
without full bundle-adjustment - targeted for
educational purposes.
Parameters:
https://gitlab.com/snippets/1679283
Latex Bibtex:
@ARTICLE{2017arXiv170904377S,
author = {{Schlegel}, D. and {Colosi}, M. and
{Grisetti}, G.},
title = "{ProSLAM: Graph SLAM from a
Programmer's Perspective}",
journal = {ArXiv e-prints},
archivePrefix = "arXiv",
eprint = {1709.04377},
primaryClass = "cs.RO",
keywords = {Computer Science - Robotics},
year = 2017,
month = sep,
adsurl =
{http://adsabs.harvard.edu/abs/2017arXiv170904377
S},
adsnote = {Provided by the SAO/NASA
Astrophysics Data System}
}

Detailed Results

From all test sequences (sequences 11-21), our benchmark computes translational and rotational errors for all possible subsequences of length (5,10,50,100,150,...,400) meters. Our evaluation ranks methods according to the average of those values, where errors are measured in percent (for translation) and in degrees per meter (for rotation). Details for different trajectory lengths and driving speeds can be found in the plots underneath. Furthermore, the first 5 test trajectories and error plots are shown below.

Test Set Average


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Sequence 11


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Sequence 12


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Sequence 13


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Sequence 14


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Sequence 15


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