[robotics-worldwide] CfP: Special Issue on Omnidirectional Robot Vision (RAS Journal)

Emanuele Menegatti emg at dei.unipd.it
Fri Nov 14 12:57:25 PST 2008

===Robotics and Autonomous Systems (Elsevier) ======
Special Issue: Omnidirectional Robot Vision

Guest Editors:
* Emanuele Menegatti (University of Padua, Italy)
* Tomas Pajdla, (Czech Technical University in Prague, Czech Republic)


Omnidirectional vision research has always been greatly stimulated by  
mobile robotics and it has been finding its major applications there.  
Significant progresses have been made since the pioneer works which  
used shielded light bulbs or steel spheres  as mirrors. Nowadays,  
several companies are selling high quality omnidirectional mirrors and  
cameras. Recently, a broader community has started working with  
omnidirectional sensors and commercial applications appeared also in  
surveillance and automotive industry. The increase of resolution of  
modern cameras overcome one of the major limitations of  
omnidirectional vision, the low resolution of omnidirectional images.  
The increase of computational power on board of nowadays robots and  
vehicles enables the use of more complex robot vision algorithms.  
Therefore, more computer vision algorithms are now applicable to  
omnidirectional images and the new approaches show their effectiveness  
in moving robots or autonomous or semi-autonomous vehicles.

In this special issue, we wish to collect  examples of active  
collaboration of computer vision and robotic researchers to develop  
more robust, practical and applicable systems in robotics and elsewhere.

The core of the special issue will be a selection of papers presented  
to the „Workshop on Omnidirectional Robot Vision“ at SIMPAR 2008.
Authors of papers published at the workshop will be asked for an  
extended version of their paper to go through a new peer-review process.
Nevertheless, the special issue is open also to contribution not  
previously submitted to the workshop.

**Topics of interest

- Omnidirectional sensors for robotics
- Omnidirectional vision for mobile robots, flying robots and  
- Omnidirectional vision for robot navigation and safety
- Omnidirectional vision for multi-robot teams (including RoboCup  
- Omnidirectional visual odometry
- Omnidirectional SLAM (Simultaneous Localization and Mapping)
- Omnidirectional vision in industrial robotics and automotive industry

**IMPORTANT DATES (of special issue):

Deadline for submission of paper:		January 30, 2009
Notification of acceptance: 			March 25, 2009
Submission of final camera ready papers: 	April 25, 2009

Please send your contribution by email directly to the Guest Editors  
at the following addresses

emanuele.menegatti at dei.unipd.it, pajdla at cmp.felk.cvut.cz

in PDF format following the template you can find at:
The number of pages of the single paper can range between 15 and 24.

Best regards,

Emanuele Menegatti and Tomas Pajdla
- RAS Guest Editors -

Emanuele Menegatti, Ph.D.

Intelligent Autonomous Systems Laboratory (IAS-Lab)
Department of Information Engineering
The University of Padua
via ognissanti 72
I-35129 Padova - ITALY

Skype: emanuele.menegatti
Phone: ++39 049 827 7840
FAX:  ++39 049 827 7826

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