@Article{AngelSappa2016,
author="Angel Sappa
and Cristhian A. Aguilera-Carrasco
and Juan A. Carvajal Ayala
and Miguel Oliveira
and Dennis Romero
and Boris X. Vintimilla
and Ricardo Toledo",
title="Monocular visual odometry: A cross-spectral image fusion based approach",
journal="Robotics and Autonomous Systems",
year="2016",
publisher="Elsevier B.V.",
volume="85",
pages="26--36",
optkeywords="Monocular visual odometry",
optkeywords="LWIR-RGB cross-spectral imaging",
optkeywords="Image fusion",
abstract="This manuscript evaluates the usage of fused cross-spectral images in a monocular visual odometry approach. Fused images are obtained through a Discrete Wavelet Transform (DWT) scheme, where the best setup is empirically obtained by means of a mutual information based evaluation metric. The objective is to have a flexible scheme where fusion parameters are adapted according to the characteristics of the given images. Visual odometry is computed from the fused monocular images using an off the shelf approach. Experimental results using data sets obtained with two different platforms are presented. Additionally, comparison with a previous approach as well as with monocular-visible/infrared spectra are also provided showing the advantages of the proposed scheme.",
optnote="ADAS;600.086; 600.076",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2811), last updated on Tue, 25 Apr 2023 14:01:32 +0200",
doi="10.1016/j.robot.2016.08.005",
file=":http://refbase.cvc.uab.es/files/SAC2016.pdf:PDF"
}