[robotics-worldwide] [meetings] CfP RSS Workshop: Visual Place Recognition - What is it Good For?

Niko Sünderhauf niko.suenderhauf at qut.edu.au
Tue Apr 12 18:18:06 PDT 2016


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Call for Contributions
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Visual Place Recognition - What is it Good For?

Workshop at Robotics: Science and Systems (RSS)
June 19, 2016   ---   Ann Arbor, Michigan, USA

Website: https://urldefense.proofpoint.com/v2/url?u=http-3A__tinyurl.com_vprice-2Drss16&d=CwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=M_fI_yjmvwf84eElVoqrFiJ8NMOkR6Lor99WZw46ACM&s=32vDWrgRrS730SXXXpM1juv7wIOU7ZJf1bQc4MyQjaA&e= 
Submission via email to niko.suenderhauf at roboticvision.org

Submission deadline: May 8
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This workshop discusses novel concepts and ideas for robust vision‐based
place recognition in severely changing environments. Such changes – induced
e.g. by the time of day, weather or seasonal effects as well as human
activity – are a ubiquitous challenge for all autonomous systems aiming at
long‐term operations in both indoor and outdoor settings, and are highly
relevant to visual neuroscience.

This year’s edition of the workshop puts a focus on contributions that show,
discuss, and evaluate visual place recognition working in real robotic
systems, in concert with mapping or SLAM, or embedded into a real-world
application. 

The workshop features a tutorial that introduces the basic principles and
the state of the art to participants without previous experience in the
field. Invited talks and a number of contributed talks discuss the newest
developments, concepts and ideas in the areas covered by the workshop
topics. We will continue to run a place recognition challenge in association
with the workshop, building on its inaugural success in 2015.

Important Dates:
============

Submission Deadline: May 8, 2016 (anywhere on the planet)
Acceptance Notification: May 15, 2016
Workshop Date: June 18, 2016


Paper Submissions:
==============

Papers will be presented in a short talk (expect 3-5 minutes) followed by a
poster session on individual posters.

This year’s edition of the workshop puts a focus on contributions that show,
discuss, and evaluate visual place recognition working in real robotic
systems, in concert with mapping or SLAM, or embedded into a real-world
application.

Topics of interest to this workshop include, but are not necessarily limited
to:
- Novel techniques for change-invariant whole image matching
- Approaches for invariant image feature learning 
- Learning, modelling, and predicting systematic or repeating appearance
changes over time
- Learning stable / non-changing environmental features
- Exploiting semantic information for long-term place recognition
- Novel concepts of incorporating uncertain place recognition in SLAM /
navigation systems
- Standardized benchmarks and long-term datasets in changing environments

We explicitly encourage the submission of papers describing work in
progress, preliminary results or novel concepts.

Organizers:
Dr Niko Sünderhauf, Assoc Prof Michael Milford, Assoc Prof Ben Upcroft, Prof
Peter Corke
Australian Centre for Robotic Vision (ACRV), Queensland University of
Technology (QUT), Australia

Dr Peer Neubert
Chemnitz University of Technology, Germany





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