[visionlist] CFP: Learning for Localization and Mapping Workshop at IROS 2017
Igor Gilitschenski
igilitschenski at ethz.ch
Fri Jun 16 05:00:34 -05 2017
Call for Papers
Learning for Localization and Mapping Workshop at IROS 2017
Vancouver, B.C., Canada, September 28, 2017
Website: https://sites.google.com/site/learningforslam/
===== OVERVIEW =====
The goal of this workshop is to present and discuss developments in
learning-based approaches for localization and mapping systems. We aim
at bridging the gap between robotics and machine learning research by
bringing together researchers from both fields. This workshop focuses on
developing a clear vision for future directions of research of
learning-based mapping techniques and novel machine learning algorithms
that promise to further bolster localization and mapping systems.
We invite you to submit a papers abstract on any potential topic within
the scope of the workshop. The abstracts can be submitted in IROS format
(4-6 pages, references will go on an extra page). Accepted papers will
be presented in a poster session. The pdf of the posters alongside with
the abstracts will be published on the workshop website.
===== TOPICS OF INTEREST =====
The topics of interest involve but are not limited to:
* Improving distinctiveness of place representations for place
recognition and loop closure.
* Learning-based approaches for map maintenance and map compression.
* Selecting useful landmarks for map creation.
* Multi-modal landmark descriptors and matching between different
sensor types.
* Representation of objects as landmarks in SLAM.
* Deployment of learning-based approaches on resource constrained
robotic platforms.
* Uncertainty quantification for deep learning and its applicability in
a Bayesian fusion setting.
* Success stories and lessons learned (including negative results).
===== INVITED SPEAKERS =====
We are proud to have a group of famous invited speakers presenting at
our workshop involving
Wolfram Burgard, University of Freiburg
Jana Kosecka, George Mason University
Stefan Leutenegger, Imperial College London
Fabio Ramos, University of Sydney
Bernhard Zeisl, Google
===== ORGANIZERS =====
Cesar Cadena, ETH Zurich
Igor Gilitschenski, ETH Zurich
John Leonard, MIT
Sudeep Pillai, MIT
Fabio Ramos, University of Sydney
Niko Suenderhauf, QUT
===== DATES =====
Submission of Paper Drafts: July, 30th
Notification of Acceptance: August, 10th
Submission of Final Version: August, 20th
Date of Workshop: September, 28th
===== CONTACT =====
The organization committee can be reached at
learningforslam at googlegroups.com
--
Dr.-Ing. Igor Gilitschenski
ETH Zürich
Autonomous Systems Lab
LEE J317
Leonhardstrasse 21
8092 Zürich
Phone: +41 44 63 29 787
igilitschenski at ethz.ch
www.asl.ethz.ch
More information about the visionlist
mailing list