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Call for Papers (pdf)
Short
Description
Data association is an important problem for many
fields. In this workshop we want to take a deeper look at fundamental
methods and problem analysis of the data association problem. We invite
researchers from the different disciplines involved to contribute to the
discussion.
Inside
Data Association
Correctly associating sets of features is a core
problem in many applications including robot self-localization and mapping
(SLAM), visual tracking, and object recognition. Features usually need to
be extracted from sensor data and extraction itself can be a difficult
application-specific task in its own right. However, there are many common
characteristics of data association problems which are worth studying.
In
this workshop we want to take a deeper look at the data-association problem
and we explicitly encourage insightful contributions focussing on
theoretical or empirical analysis, providing novel views on the problem, or
even proposing a candidate for a gold-standard algorithm.
To
facilitate evaluation of data association methods, we particularly
encourage using a SLAM data set which is available from the workshop
homepage (see below). The data set is preprocessed to provide geometric
features and ground-truth is also available. Please take a look at the
video on the workshop homepage.
Request
for Participation
The workshop features a plenary discussion:
"Fundamental questions in data association." and we call everyone
to submit pertinent questions to the organizers.
Program Commitee
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Martin Adams
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Nanyang Technological University, Singapore
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Tim Bailey
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The University of Sydney
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Michael Bosse
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CSIRO Australia
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Andrew Davison
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Imperial College London
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Tom Duckett
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University of Lincoln
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Ryan Eustice
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University of Michigan
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Patric Jensfelt
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Royal Institute of Technology, Sweden
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Michael Kaess
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Georgia Institute of Technology
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John Leonard
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Massachusetts Institute of Technology
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Favio Masson
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Universidad Nacional del Sur, Argentina
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Ian Reid
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University of Oxford
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Nicholas Roy
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Massachusetts Institute of Technology
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Cyril Stachniss
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University of Frieburg
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Olivier Stasse
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Joint Japanese-French Laboratory
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Juan Tardos
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University of Zaragoza
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Sebastian Thrun
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Stanford University
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Submissions
For dates see below.
Extended abstract: For the review process an
extended abstract is sufficient. Please include motivation, problem
statement any related work as well as new contributions with results and
experiments. The extended abstract should not exceed three pages.
Full paper: Accepted authors will be invited to submit
a full paper. Full paper should be formatted in the official RSS layout (http://www.robotics-conference.org/submissions.shtml)
Please
submit your extended abstract and paper as PDF and your questions for the
plenary discussion to the organizers via email:
dataassociation informatik.uni-bremen.de
Important
Dates
May 26. Submission of extended
abstract (23:59 PST)
May 30. Notification of acceptance
June 18. Submission of final paper version
June 28. Workshop at RSS08
URLs
Conference homepage: http://www.robotics-conference.org
Workshop homepage: http://www.sfbtr8.spatial-cognition.de/insidedataassociation/
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