Method

Lightweight Visual Tracking [st] [LVT]
[Anonymous Submission]

Submitted on 9 Aug. 2018 16:27 by
[Anonymous Submission]

Running time:0.02 s
Environment:2 cores @ 2.5 Ghz (C/C++)

Method Description:
Feature-based stereo visual odometry. The method utilizes AGAST/BRIEF features. It also employs a transient local map to keep the features alive while being tracked.
Parameters:
tracking_ratio_test_threshold: 0.80
tracking_radius: 25
agast_threshold: 25

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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