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Multi-sensor integration for longer-term autonomous navigation
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Dear Colleagues
A symposium on " Multi-sensor integration for longer-term autonomous
navigation" will be held in conjunction with the 5th International
Conference on Intelligent Sensors, Sensor Networks and Information
Processing (ISSNIP), Melbourne, Australia during December 7-10, 2009
(www.issnip.org/2009).
Despite all the advances exhibited by robotic platforms in making
seemingly intelligent decisions when it comes to planning their motions,
the theme of long-term reliable autonomy is still an elusive one. Many
advances are being reported in the scientific literature, yet achieving
realistic, independent, continuous operation even within the boundaries
of specific application domains is still an aspiration in accomplishing
effective autonomous robot navigation for many real world problems.
Limitations in the physics of the sensorial devices, computational
issues, intelligent data fusion and many other factors play an important
role in hampering further advances.
The symposium will focus on techniques for extracting and relating
information from sensors for the purpose of persistent robot autonomy in
the widely varied settings that these platforms are designed to operate
in: indoors-outdoors, known-unknown environments, static-dynamic
problems, highly structured-unstructured scenarios, human-aware or
fully-remote applications. While the areas are wide and varied, an
underlying current flows through all these themes: no sensing capability
or technique will be able to afford success unless working in
cooperation with others and intelligently exploiting the combined sensor
strengths. The aim of this symposium is to bring together researchers
who are working in the area of multi-sensor fusion integration
techniques to solve real world problems where longer autonomous
operation is key in the success of the application. Areas such as
autonomous driving on roads, navigating on unknown (and more often than
not harsh) environments such as those encountered during planetary
exploration or post-disaster affected areas, airborne surveillance,
multi-robot cooperative planning or unsupervised cognitive robots
working with humans on a daily basis are but a few token examples.
The symposium will seek original research work on all of aspects of
sensor integration and fusion algorithms for long-term autonomous
operation, with a distinct emphasis on learning how the proposed
multi-source aspects of the proposed analytical solutions have been
applied to solve real world problems. Topics include, but are not
limited to:
* Managing ever expanding world models for motion planning
* Large-scale SLAM
* Exteroceptive perception for improved odometry
* Driver assistance systems
* Integrity self-monitoring for continuous operation
* Centralised/Decentralised intelligent decision making
* Autonomous navigation in open and dynamic environments
* Novel sensors and techniques, applicable in seemingly contrasting
fields (e.g. mining, home, underwater, hospital care ...)
* Data association concepts for sensor integration
* Sensory-oriented fault tolerant robotic architectures for long-term
operation
Important Dates:
Paper Submission: August 7 2009
Author Notification: September 14 2009
Final Camera Ready Paper Submission: October 5 2009
General Chairs:
Jaime Valls Miro, Centre of Excellence for Autonomous Systems, UTS,
Australia
Alen Alempijevic, Centre of Excellence for Autonomous Systems, UTS,
Australia
{javalls, alalemp}@eng.uts.edu.au
Technical Committee:
Dieter Fox, University of Washington
Mike Bosse, CSIRO
Nick Roy, MIT
Simon Lacroix, LAAS
Stefan Willians, University of Sydney
Shoudong Huang, University of Technology Sydney
All accepted papers will be published by the IEEE Press and appear in
the Conference Proceedings and on IEEE Xplore. Please see
http://www.issnip.org/2009/
(EDAS-based) submissions.
Given the shorter time-frame for submission, please contact the
Symposium Chair directly on javalls@eng.uts.edu.au should you run into
difficulties during your EDAS submission process (or if you are keen but
think you migth possibly be late).
--
Dr Jaime Valls Miro
Senior Research Fellow
Centre of Excellence for Autonomous Systems (CAS)
UTS, Faculty of Engineering and IT,
PO BOX 123, Broadway NSW 2007, Australia
Office: CB02.605
p: +61 2 9514 2967
f: +61 2 9514 2655
jaime.vallsmiro[AT]eng.uts.
--
UTS CRICOS Provider Code: 00099F
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