Method

Stereo VO with 3pt and binning [st] [GT_VO3pt]


Submitted on 8 Jun. 2012 16:40 by
Chris Beall (Georgia Tech)

Running time:1.26 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
Stereo Visual Odometry with a RANSAC-based three-point algorithm to compute relative poses. The Georgia Tech Smoothing and Mapping (GTSAM) library is used for incremental pose recovery.
Running time includes SIFT feature extraction on CPU.
Parameters:
Feature bins: 9x3
Latex Bibtex:
@inproceedings{Beall10,
author = {Chris Beall and Brian Lawrence and Viorela Ila and Frank Dellaert},
title = {3D reconstruction of underwater structures},
booktitle = {IROS},
year = {2010},
pages = {4418-4423}
}

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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