[robotics-worldwide] Deaedline extension: special issue of IEEE TRO on Visual SLAM]

José Neira jneira at unizar.es
Fri Nov 23 09:46:22 PST 2007

Having received requests for a deadline extension for the Special Issue 
on Visual SLAM of
IEEE TRO, the invited editors, together with the editorial board, have 
decided to *extend the
submission deadline  by two weeks, to saturday, December 15, 2007.*

Regular and short papers for this Special Issue should be submitted in 
the usual way to T-RO
(see details in  

Essentially, papers (in PDF) should be submitted by FTP to the site address

The cover page of the paper should contain the paper title, authors' 
names and full addresses,
abstract, keywords  (index terms),  and paper type (Regular Paper, Short 
Paper). The corresponding
author should be clearly indicated.  A submission letter has to be sent 
by email to ieeetro at dis.uniroma1.it
including (as plain text in the message)  all information contained in 
the cover page of the paper and the
name of the uploaded file(s).
In the submission  email, please specify that the paper is intended for 
the Special Issue
on Visual SLAM. *

More information at:

The original call for paper follows:

Original Call for Papers


Special Issue on Visual SLAM


In recent years there have been spectacular advances in the solution of 
the simultaneous localization and mapping (SLAM) problem for indoor 
environments of considerable size, and  to some extent, also for outdoor
environments. Many SLAM systems have been demonstrated to build large 2D 
models of the environment using laser scanners. A current trend in SLAM is 
to use standard, low-cost,  compact and information-rich cameras to
sense the environment rather than more specialized sensors. The focus of 
this Special Issue of the IEEE Transactions on Robotics (T-RO) is to 
publish outstanding results in the  rapidly progressing subject of visual
SLAM: visual-only systems as well as systems that accommodate available 
knowledge about the sensor motion provided by other sensors, including 
inertial, accelerometers, gyroscopes and so on. One natural major thrust of
work in vision-based SLAM is to emulate (and ultimately surpass) the 
results in large-scale mapping achieved using laser range-finder sensors, 
aiming to build vision-only SLAM  systems with the potential of guiding
autonomous robots in their exploration and operation in large and 
complex environments.

Topics of interest include, but are not limited to the following:
- Visual odometry
- Dense scene representation
- Visual loop closing techniques
- Visual sub-mapping
- Bearing only/monocular SLAM
- Multi-camera configurations for SLAM
- Mapping with omni-directional cameras
- High frame-rate motion estimation
- Application to commodity platforms
- High-end applications in field robotics, humanoids, automotive

Techniques that contribute to close the gap between ‘traditional’ SLAM 
techniques and computer vision
techniques will be of special interest.

Important dates:
August 1, 2007: Call for Papers
November 30, 2007: Deadline for Paper Submission
March 15, 2008: Completion of First Review
June 30, 2008: Completion of Final Review
October 2008 (tentative): Publication

The Guest Editors of the Special Issue are:

Prof. Jose' Neira, Dept. de Informatica e Ingenieria de Sistemas, 
Universidad de Zaragoza, Spain
Dr. Andrew Davison, Dept. of Computing, Imperial College, London, UK
Prof. John J. Leonard, Dept. of Mechanical Engineering, MIT, Cambridge, 

Submission and Review of Papers:

Submission procedures can be obtained from the T-RO web site 
http://www.dis.uniroma1.it/ieeetro. T-RO
considers also multimedia material accompanying submissions. Papers 
submitted to the Special Issue will
undergo the usual reviewing process of T-RO.

More information:


Jose Neira
Departamento de Informática e Ingeniería de Sistemas
Centro Politécnico Superior
Universidad de Zaragoza
Edificio Ada Byron
María de Luna 1
E-50018 Zaragoza, Spain
Fax: (34) 976 761 914; Voice: (34) 976 761 947; Office D.1.19
Email: jneira at unizar.es; URL: http://webdiis.unizar.es/~neira

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