[robotics-worldwide] [journals] RAS Special Issue on Localization and Mapping in Challenging Environments
Shoudong.Huang at uts.edu.au
Thu Jun 4 21:27:59 PDT 2015
Please email me if you have intention to submit a paper to this special issue. Thanks.
CFP - Apologies for multiple copies
Robotics and Autonomous Systems (RAS) Journal - Elsevier Special Issue on Localization and Mapping in Challenging Environments OPEN CALL
Reliable localization and mapping are competencies essential to realize many different robot applications. A broad range of techniques, ranging from statistical approaches such as Kalman filters and particle filters, to optimization based methods, have been developed in the last two decades for solving these problems. Significant contributions have been made in improving the efficiency and robustness of robot localization and mapping in both 2D and 3D scenarios using different sensors such as laser scanners, monocular cameras, RGB-D sensors and many others. However, it is still a significant challenge to achieve robust localization and mapping in environments populated with dynamic objects or deformable objects, in underground with uneven terrain, underwater in turbid conditions, and in environments with changing lighting conditions. This special issue aims to consolidate some recent developments in localization and mapping in challenging environments, providing state-of-the art approaches and algorithms that are able to facilitate the use of mobile robots in a range of application domains.
List of Topics
The scope of this special issue encompasses articles or tutorials that address one or more challenges of mobile robot localization and mapping in difficult environments using different sensors. Particular topics of interest include:
* localization and mapping in dynamic environments
* localization using low quality sensors
* localization and mapping in environments with deformable objects
* localization and mapping in underground or underwater environments
* 3D point cloud registration and 3D reconstruction
* SLAM in dynamic environments
* novel map representations with uncertainty
* SLAM with generic objects/features
* global localization
* loop closure detection
* motion segmentation, people detection and object recognition
* industry applications of robot localization and mapping
* 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/<https://legacy.adsroot.uts.edu.au/owa/redir.aspx?C=BRsI7qjiUkKKCqH7kiIrsu5XVHLfDNJIICmr7KgZKMQJLZ2lVP4TFu1E0ujCO1-ArzFBEtSanEg.&URL=http%3a%2f%2fees.elsevier.com%2frobot%2f>. Authors must select "SI: Localization and Mapping" 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.
Submission open: September 01, 2015
Deadline for paper submission: November 20, 2015
Notification of acceptance: June 30, 2016
Publication date: September, 2016
A/Prof. Shoudong Huang
University of Technology Sydney, Australia
shoudong.huang at uts.edu.au<mailto:shoudong.huang at uts.edu.au>
Prof. Gamini Dissanayake
University of Technology Sydney, Australia
gamini.dissanayake at uts.edu.au<mailto:gamini.dissanayake at uts.edu.au>
UTS CRICOS Provider Code: 00099F
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