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 Marc Pollefeys, Microsoft 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 (extended): August, 11th New Notification of Acceptance Date: August, 18th New Submission of Final Version Deadline: September, 1st Date of Workshop: September, 28th ===== CONTACT ===== The organization committee can be reached at learningfors...@googlegroups.com -- Dr.-Ing. Igor Gilitschenski ETH Zürich Autonomous Systems Lab LEE J317 Leonhardstrasse 21 8092 Zürich Phone: +41 44 63 29 787 igilitschen...@ethz.ch www.asl.ethz.ch _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
