Method

LTMVO [LTMVO]


Submitted on 7 Nov. 2019 04:04 by
Chen Gao (Virginia Tech)

Running time:0.1 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
LTMVO (ECCV2020), using ORB-SLAM2-S to align scale
Parameters:
0.1
Latex Bibtex:
@inproceedings{zou2020learning,
title={Learning Monocular Visual Odometry via
Self-Supervised Long-Term Modeling},
author={Zou, Yuliang and Ji, Pan and Tran, Quoc-
Huy and Huang, Jia-Bin and Chandraker, Manmohan},
booktitle={ECCV},
year={2020}
}

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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