[robotics-worldwide] Submission deadline extended to 10. March 2013: IEEE Robotics & Automation Magazine Special Issue on Emerging Applications of Stochastic Geometry in Autonomous Robotics

Martin Adams martin at ing.uchile.cl
Wed Feb 6 08:40:22 PST 2013

Due to multiple requests, the initial submission deadline for the:


IEEE Robotics and Automation Magazine Special Issue on:


Emerging Applications of Stochastic Geometry in Autonomous Robotics


Has been extended by 1 month to 10. March 2013.


Please submit your articles according to the guidelines:




indicating that you are submitting to the special issue. Alternatively, you
can email Martin Adams indicating your paper title and authors at
martin at ing.uchile.cl






Original Call for Articles:


IEEE Robotics and Automation Magazine Special Issue on:


Emerging Applications of Stochastic Geometry in Autonomous Robotics


The SLAM problem requires a robust representation of the vehicle's
surroundings (the map) in the presence of sensing/feature detection
uncertainties such as false positives, missed detections and spatial errors.
Significant research activity now exists in representing both measurements
and the feature based SLAM map as a Random Finite Set (RFS), rather than the
conventionally used random vector. This is not merely a triviality of
representation. Recent research has shown that Finite Set Statistics
(FISST), developed for data fusion and estimation with RFSs, when applied to
sensor representations and SLAM, can eliminate the necessity of fragile map
management and feature association algorithms. Robotic sensing, mapping and
SLAM applications which use FISST in the form of the Probability Hypothesis
Density (PHD), Cardinalized PHD (C-PHD) and Multi-Target, Multi-Bernoulli
(MeMBer) filters have already demonstrated robust means of representing
uncertain sensor data and maps, with the unique abilities of jointly
tracking both object spatial and existence uncertainties. 

Scope, description and more information


This special issue calls for magazine style articles on the direct
application of FISST to the issues of autonomous robotic sensing, mapping
and navigation with diverse sensing techniques and in various environments.
The robustness of the solutions presented should be demonstrated in the
presence of sensing and sensor processing uncertainty. Comparisons with
conventional vector based techniques are also encouraged. Topics of interest
include, but are not limited to,


. Use of Sets for Sensor and Map Representations, 


. PHD Smoothing and Filtering Applications in Robotics,


. Sensing, Mapping and SLAM in high clutter levels,


. Multi-Vehicle SLAM,


. Metrics to determine full mapping and SLAM errors


. Detecting and Tracking Extended Targets



The paper submission deadline for this special issue is 10. February 2013
(now extended to 10. March 2013), and submission details and more
information are available at the following website:




The papers must be submitted on-line according to the instructions in the
following website:




Articles must be in "magazine" (rather than journal) style - and that photos
of experiments and equipment, as well as actual experimental results are
encouraged. The suggested number of equations is limited to 10. 


Many thanks


Guest Editors:


Martin Adams, Ba-Ngu Vo and Ronald Mahler.



Dr. Martin Adams

Professor of Electrical Engineering

Universidad de Chile

Dept. Electrical Engineering

Av. Tupper 2007, 837-0451 Santiago, Chile


Phone: +56-2-2978-4209

Fax:       +56-2-2672-0162

Email:    <mailto:martin at ing.uchile.cl> martin at ing.uchile.cl

url:         <http://www.cec.uchile.cl/~martin/>



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