Commit e8fa8a9c authored by cn1n18's avatar cn1n18

Upload New File

parent 6319156a
\begin{thebibliography}{10}
\providecommand{\url}[1]{#1}
\csname url@rmstyle\endcsname
\providecommand{\newblock}{\relax}
\providecommand{\bibinfo}[2]{#2}
\providecommand\BIBentrySTDinterwordspacing{\spaceskip=0pt\relax}
\providecommand\BIBentryALTinterwordstretchfactor{4}
\providecommand\BIBentryALTinterwordspacing{\spaceskip=\fontdimen2\font plus
\BIBentryALTinterwordstretchfactor\fontdimen3\font minus
\fontdimen4\font\relax}
\providecommand\BIBforeignlanguage[2]{{%
\expandafter\ifx\csname l@#1\endcsname\relax
\typeout{** WARNING: IEEEtran.bst: No hyphenation pattern has been}%
\typeout{** loaded for the language `#1'. Using the pattern for}%
\typeout{** the default language instead.}%
\else
\language=\csname l@#1\endcsname
\fi
#2}}
\bibitem{brambilla2013swarm}
M.~Brambilla, E.~Ferrante, M.~Birattari, and M.~Dorigo, ``Swarm robotics: a
review from the swarm engineering perspective,'' \emph{Swarm Intelligence},
vol.~7, no.~1, pp. 1--41, 2013.
\bibitem{balta2013terrain}
H.~Balta, G.~De~Cubber, D.~Doroftei, Y.~Baudoin, and H.~Sahli, ``Terrain
traversability analysis for off-road robots using time-of-flight 3d
sensing,'' in \emph{7th IARP International Workshop on Robotics for Risky
Environment-Extreme Robotics, Saint-Petersburg, Russia}, 2013.
\bibitem{bhoi2019monocular}
A.~Bhoi, ``Monocular depth estimation: A survey,'' \emph{arXiv preprint
arXiv:1901.09402}, 2019.
\bibitem{godard2017unsupervised}
C.~Godard, O.~Mac~Aodha, and G.~J. Brostow, ``Unsupervised monocular depth
estimation with left-right consistency,'' in \emph{Proceedings of the IEEE
Conference on Computer Vision and Pattern Recognition}, 2017, pp. 270--279.
\bibitem{xu2018structured}
D.~Xu, W.~Wang, H.~Tang, H.~Liu, N.~Sebe, and E.~Ricci, ``Structured attention
guided convolutional neural fields for monocular depth estimation,'' in
\emph{Proceedings of the IEEE Conference on Computer Vision and Pattern
Recognition}, 2018, pp. 3917--3925.
\bibitem{eigen2014depth}
D.~Eigen, C.~Puhrsch, and R.~Fergus, ``Depth map prediction from a single image
using a multi-scale deep network,'' in \emph{Advances in neural information
processing systems}, 2014, pp. 2366--2374.
\bibitem{laina2016deeper}
I.~Laina, C.~Rupprecht, V.~Belagiannis, F.~Tombari, and N.~Navab, ``Deeper
depth prediction with fully convolutional residual networks,'' in \emph{2016
Fourth international conference on 3D vision (3DV)}.\hskip 1em plus 0.5em
minus 0.4em\relax IEEE, 2016, pp. 239--248.
\bibitem{alhashim2018high}
I.~Alhashim and P.~Wonka, ``High quality monocular depth estimation via
transfer learning,'' \emph{arXiv preprint arXiv:1812.11941}, 2018.
\bibitem{geiger2013vision}
A.~Geiger, P.~Lenz, C.~Stiller, and R.~Urtasun, ``Vision meets robotics: The
kitti dataset,'' \emph{The International Journal of Robotics Research},
vol.~32, no.~11, pp. 1231--1237, 2013.
\bibitem{valada16iser}
A.~Valada, G.~Oliveira, T.~Brox, and W.~Burgard, ``Deep multispectral semantic
scene understanding of forested environments using multimodal fusion,'' in
\emph{International Symposium on Experimental Robotics (ISER)}, 2016.
\bibitem{saxena2008make3d}
A.~Saxena, M.~Sun, and A.~Y. Ng, ``Make3d: Learning 3d scene structure from a
single still image,'' \emph{IEEE transactions on pattern analysis and machine
intelligence}, vol.~31, no.~5, pp. 824--840, 2008.
\bibitem{saxena2007learning}
------, ``Learning 3-d scene structure from a single still image,'' in
\emph{2007 IEEE 11th International Conference on Computer Vision}.\hskip 1em
plus 0.5em minus 0.4em\relax IEEE, 2007, pp. 1--8.
\bibitem{firman2016rgbd}
M.~Firman, ``Rgbd datasets: Past, present and future,'' in \emph{Proceedings of
the IEEE conference on computer vision and pattern recognition workshops},
2016, pp. 19--31.
\bibitem{Silberman:ECCV12}
P.~K. Nathan~Silberman, Derek~Hoiem and R.~Fergus, ``Indoor segmentation and
support inference from rgbd images,'' in \emph{ECCV}, 2012.
\end{thebibliography}
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment