Method

GeM-VO [GeM-VO]
[Anonymous Submission]

Submitted on 20 Mar. 2024 15:15 by
[Anonymous Submission]

Running time:0.21 s
Environment:GPU @ 2.5 Ghz (Python)

Method Description:
Deep stereo odometry which leverages optical flow.
Parameters:
\th = 0.027
Latex Bibtex:
none

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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