RSS-ViPR 2016 : RSS Workshop: Visual Place Recognition - What is it Good For?

June 19, 2016.

Ann Arbor, USA .

Call for Papers

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.  

Papers can be submitted by e-mail to niko.suenderhauf@qut.edu.au and should follow the usual RSS paper guidelines for style and length (up to 8 pages). The papers will be reviewed and commented by the members of the program committee. The accepted papers will be published on the workshop website.

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

Topics

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

Important Dates

Paper submission: May 22, 2016

                       

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