07.02.2013 Views

Session WedAT1 Pegaso A Wednesday, October 10, 2012 ... - Lirmm

Session WedAT1 Pegaso A Wednesday, October 10, 2012 ... - Lirmm

Session WedAT1 Pegaso A Wednesday, October 10, 2012 ... - Lirmm

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

<strong>Session</strong> WedDT1 <strong>Pegaso</strong> A <strong>Wednesday</strong>, <strong>October</strong> <strong>10</strong>, <strong>2012</strong>, 14:00–15:00<br />

Omnidirectional Vision and Aerial Robotics I<br />

Chair Friedrich Fraundorfer, ETH Zurich<br />

Co-Chair Vincenzo Lippiello, Univ. di Napoli Federico II<br />

14:00–14:15 WedDT1.1<br />

Full Scaled 3D Visual Odometry from a Single<br />

Wearable Omnidirectional Camera<br />

Daniel Gutiérrez-Gómez, Luis Puig and J.J. Guerrero<br />

Departamento de Informática e Ingeniería de Sistemas (DIIS) -<br />

Instituto de Investigación en Ingeniería de Aragón (I3A),<br />

Universidad de Zaragoza, Spain<br />

• Monocular SLAM present an scale<br />

ambiguity due to depth unobservability.<br />

• In SLAM with a helmet-mounted<br />

omnidirectional camera, head oscillations<br />

during walking are visible.<br />

• Extracting the frequency of oscillation, the<br />

walking speed can be approximated.<br />

• Knowing the walking speed, scale factor<br />

and true scaled 3D motion estimation can<br />

be computed.<br />

Our approach is able to cope with<br />

scale drift.<br />

14:30–14:45 WedDT1.3<br />

Topological segmentation of indoors/outdoors<br />

Sequences of spherical views<br />

Alexandre Chapoulie and Patrick Rives<br />

INRIA Sophia Antipolis, France<br />

David Filliat<br />

ENSTA-ParisTech, France<br />

• New approach for topological mapping of<br />

indoors/outdoors environments.<br />

• Online segmentation of sequences of<br />

spherical views.<br />

• Use of a global GIST descriptor for<br />

encoding the spherical view content.<br />

• Real-time change-point detection based<br />

algorithm<br />

• Experimental validation on indoors and<br />

outdoors datasets<br />

14:15–14:30 WedDT1.2<br />

3-line RANSAC for Orthogonal Vanishing<br />

Point Detection<br />

Jean-Charles Bazin and Marc Pollefeys<br />

Computer Vision and Geometry Laboratory<br />

ETH Zurich, Switzerland<br />

• Vanishing points (VPs) are useful for<br />

rotation estimation, robot stabilization,<br />

3D reconstruction, etc…<br />

• Orthogonal VPs constitute an important<br />

information but the orthogonality<br />

constraint is hard to impose<br />

• A new approach to generate a model of<br />

orthogonal VPs from three lines<br />

• Procedure incorporated in RANSAC for<br />

robust and fast estimation<br />

<strong>2012</strong> IEEE/RSJ International Conference on Intelligent Robots and Systems<br />

–151–<br />

Example of line clustering and<br />

vanishing point estimation<br />

14:45–15:00 WedDT1.4<br />

Wall Inspection Control of a VTOL Unmanned<br />

Aerial Vehicle Based on a Stereo Optical Flow<br />

Vincenzo Lippiello and Bruno Siciliano<br />

Dipartimento di Informatica e Sistemistica<br />

Università di Napoli Federico II – Italy<br />

• An autonomous wall inspection control,<br />

which employs the information provided by<br />

a stereo camera system to generate a<br />

virtual stereo OF is proposed.<br />

• A virtual spherical camera is considered at<br />

the center of gravity of the UAV.<br />

• An iterative algorithm is used to lead the<br />

acquisition process of the stereo pair<br />

generating both the stereo optical flow and<br />

the estimation of the 3D planar surface<br />

parameters (orientation and relative<br />

distance).<br />

• An average translational OF is employed<br />

to estimate the absolute vehicle velocity.<br />

Virtual spherical camera (top)<br />

and Stereo optical flow

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!