Method

LKN Monocular Visual Odometry [LKNMVO]
[Anonymous Submission]

Submitted on 27 Dec. 2018 16:03 by
[Anonymous Submission]

Running time:0.3 s
Environment:GPU @ 3.0 Ghz (C/C++)

Method Description:
It is an evaluation of LKN monocular visual
odometry for a peer-reviewed journal.
Parameters:
Without depth prediction
Without loop detection
Without local and global Bundle Adjust
Latex Bibtex:

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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