dc.contributor.author |
Chermak, Lounis |
|
dc.contributor.author |
Aouf, Nabil |
|
dc.contributor.author |
Richardson, Mark A. |
|
dc.date.accessioned |
2016-10-04T14:05:22Z |
|
dc.date.available |
2016-10-04T14:05:22Z |
|
dc.date.issued |
2016-08-30 |
|
dc.identifier.citation |
L. Chermak, N. Aouf and M. A. Richardson, Scale robust IMU-assisted KLT for stereo visual odometry solution, Robotica, Volume 35, Issue 9, September 2017, pp. 1864-1887 |
en_UK |
dc.identifier.issn |
0263-5747 |
|
dc.identifier.uri |
https://doi.org/10.1017/S0263574716000552 |
|
dc.identifier.uri |
http://dspace.lib.cranfield.ac.uk/handle/1826/10660 |
|
dc.description.abstract |
We propose a novel stereo visual IMU-assisted (Inertial Measurement Unit) technique that extends
to large inter-frame motion the use of KLT tracker (Kanade–Lucas–Tomasi). The constrained
and coherent inter-frame motion acquired from the IMU is applied to detected features through
homogenous transform using 3D geometry and stereoscopy properties. This predicts efficiently
the projection of the optical flow in subsequent images. Accurate adaptive tracking windows
limit tracking areas resulting in a minimum of lost features and also prevent tracking of dynamic
objects. This new feature tracking approach is adopted as part of a fast and robust visual odometry
algorithm based on double dogleg trust region method. Comparisons with gyro-aided KLT and
variants approaches show that our technique is able to maintain minimum loss of features and low
computational cost even on image sequences presenting important scale change. Visual odometry
solution based on this IMU-assisted KLT gives more accurate result than INS/GPS solution for
trajectory generation in certain context. |
en_UK |
dc.language.iso |
en |
en_UK |
dc.publisher |
Cambridge University Press |
en_UK |
dc.rights |
Attribution-NonCommercial 4.0 International |
|
dc.rights.uri |
http://creativecommons.org/licenses/by-nc/4.0/ |
|
dc.subject |
Computer vision |
en_UK |
dc.subject |
Navigation |
en_UK |
dc.subject |
IMU-KLT feature tracking |
en_UK |
dc.subject |
Visual odometry |
en_UK |
dc.subject |
Double dogleg |
en_UK |
dc.title |
Scale robust IMU-assisted KLT for stereo visual odometry solution |
en_UK |
dc.type |
Article |
en_UK |
dc.identifier.cris |
15220743 |
|