[robotics-worldwide] [journals] 2nd CFP: Elsevier Journal: Robotics and Autonomous Systems, Special Issue on 3D Robot Perception with PCL

Emanuele Menegatti emg at dei.unipd.it
Tue Feb 3 01:57:23 PST 2015

CFP - Apologies for multiple copies

Robotics and Autonomous Systems (RAS) Journal - Elsevier
Special Issue on 3D Robot Perception with the Point Cloud Library

The Point Cloud Library (or PCL) is a large scale, open project for 2D/3D image and point cloud processing. Since 2011, PCL grew with an exceptional trend thanks to the contributions of more than 700 contributors from more than 100 institutions all over the world. This growth led PCL to become a reference library for 3D processing, providing numerous state-of-the art algorithms for filtering, feature estimation, surface reconstruction, registration, model fitting and segmentation and drivers for the most diffused 3D sensors. Moreover, complete pipelines needed for solving a number of complex perception problems are also present, such as object recognition and tracking, people detection and large-scale 3D reconstruction.
PCL’s open BSD license, free for commercial and research use, favored its diffusion among both academia and industry. The tools and algorithms provided by PCL provide a wide basic infrastructure which allows researchers and companies to better concentrate on their specific areas of expertise and specific product development, without the need of re-implementing all parts of a system.
Thanks to its integration with the Robot Operating System, PCL is the backbone of most of perception algorithms for robots equipped with RGB-D sensors.

List of Topics
The scope of this special issue encompasses articles or tutorials that address one or more challenges of 3D data processing, computer vision and robot perception building on the Point Cloud Library. Particular topics of interest include:
-       3D data filtering
-       3D keypoint and feature estimation
-       segmentation and surface modeling
-       point cloud registration
-       visual odometry and SLAM from 3D data
-       3D reconstruction
-       3D object recognition and pose estimation
-       people detection and tracking in point clouds
-       3D sensors and drivers
-       point cloud compression, streaming and visualization
-       3D robot perception
-       3D data processing in industry
-       other applications of the Point Cloud Library

Submission Guidelines
Submissions to the special issue must include original research. Papers must be original and have not been published or submitted in other journals. 
Authors should prepare their manuscript according to the Guide for Authors available from the online submission page of the Robotics and Autonomous Systems at http://ees.elsevier.com/robot/ <http://ees.elsevier.com/robot/>. Authors must select "SI: 3D Perception with PCL" when they reach the "Article Type" step in the submission process. All papers will be peer-reviewed following the Robotics and Autonomous Systems reviewing procedures.

Important Dates
Submission open	                January 01, 2015
Deadline for paper submission	February 28, 2015
Notification of acceptance      September 30, 2015
Publication date                December, 2015

Guest Editors
Matteo Munaro
University of Padua, Italy
matteo.munaro at dei.unipd.it <mailto:matteo.munaro at dei.unipd.it>

Radu B. Rusu
Open Perception, Inc., San Francisco (CA), USA
rusu at openperception.org <mailto:rusu at openperception.org>

Emanuele Menegatti
University of Padua, Italy
emg at dei.unipd.it <mailto:emg at dei.unipd.it>

Prof. Emanuele Menegatti, Ph.D.

Intelligent Autonomous Systems Laboratory (IAS-Lab)
Department of Information Engineering
The University of Padua
via g. gradenigo 6/A
I-35131 Padova - ITALY

Skype: emanuele.menegatti
Phone: ++39 049 827 7651
Mobile: ++39 347 090 77 97
FAX:  ++39 049 827 7799
http://www.dei.unipd.it/~emg <http://www.dei.unipd.it/~emg>

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