Method

Circular FORB Visual Odometry [st] [CFORB]


Submitted on 6 Jul. 2014 10:22 by
Daniel Mankowitz (Technion)

Running time:0.9 s
Environment:8 cores @ 3.0 Ghz (C/C++)

Method Description:
Circular feature matching utilizing FREAK descriptors, as well as two geometrical constraints for removing bad features
Parameters:
\ransac_iterations 100
\inlier_threshold 2.0
Latex Bibtex:
@article{Mankowitz2015cforb,
author = {Mankowitz, Daniel J and Rivlin, Ehud},
journal = {arXiv preprint arXiv:1506.05257},
title = {{CFORB: Circular FREAK-ORB Visual Odometry}},
year = {2015}
}

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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