Method

MonoDepth2 [MonoDepth2]
https://github.com/nianticlabs/monodepth2

Submitted on 23 Nov. 2019 02:36 by
Chen Gao (Virginia Tech)

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

Method Description:
MonoDepth2 (ICCV 2019), using ORB-SLAM2-S to align
scale
Parameters:
0.1
Latex Bibtex:
@inproceedings{godard2019digging,
title={Digging into self-supervised monocular
depth estimation},
author={Godard, Cl{\'e}ment and Mac Aodha, Oisin
and Firman, Michael and Brostow, Gabriel J},
booktitle={ICCV},
year={2019}
}

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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