Method

Depth Enhanced Monocular Odometry [la] [DEMO]


Submitted on 8 Jan. 2014 03:11 by
Ji Zhang (Carnegie Mellon University)

Running time:0.1 s
Environment:2 cores @ 2.5 Ghz (C/C++)

Method Description:
Monocular visual odometry assisted by depth from
Velodyne data

Research videos are available at:
youtube.com/channel/UCEEqrCpT8lnp0q1HBzS3rtQ

Latest, improved method is commercialized by:
www.kaarta.com
Parameters:
Harris corner features
Latex Bibtex:
@inproceedings{Zhang2014IROS,
title = {Real-time Depth Enhanced Monocular
Odometry},
author = {Ji Zhang and Michael Kaess and Sanjiv
Singh},
booktitle = {IEEE/RSJ International Conference
on Intelligent Robots and Systems (IROS)},
month = {Sept.},
year={2014},
address={Chicago, IL}
}

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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