LPM 2017 aims to bring together researchers working on the use of lines, planes and Manhattan models in deriving 3-D maps of physical environments. Such models have a long track record in providing effective priors to constrain mapping, increasing robustness, stability and efficiency, especially in man-made environments, both indoors and outdoors. The models have been used successfully in Robotics using a variety of sensors including LiDAR, monocular and binocular vision, and more recently, RGB-D sensors.
The purpose of the workshop is to reflect on the advances in the area and to provide an opportunity for new research to be presented. In addition to keynote and invited talks, proposals are invited for talks and poster presentations relating to the above methods in any area of Robotics. These could provide a review and reflection on previous work or report on new approaches and innovations.
Sudipta Sinha, Interactive Media (IMG) Group, Microsoft Research Redmond
Yasutaka Furukawa, Washington University in St. Louis (Simon Fraser University from Aug 1st)
Deadline for submissions: August 4, 2017
Notification of decision: August 11, 2017
Workshop: September 28, 2017
Andrew Calway, University of Bristol
Michael Kaess, Carnegie Mellon University
Srikumar Ramalingam, University of Utah