Aims and Scope

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. The use of such models has a long track record in 3-D map building and reconstruction, 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 mapping for Robotics applications 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 in recent years and to provide an opportunity for new techniques and methodologies to be presented. In addition to keynote and invited speakers, we invite proposals 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. We are particular keen to encourage contributions that reflect on the utility of the methods in terms of advantages and the potential for their use in new applications. In addition, we will be looking for contributions that propose new approaches and datasets for benchmarking performance. A best poster award will be made at the end of the workshop.

Key topics of interest for the workshop will focus on the use and application of line, plane and Manhattan models for 3-D tracking, mapping and reconstruction, including but not limited to the following:

The workshop will take place on September 28, 2017, as part of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017) in Vancouver, Canada. The program, times and venue details will follow shortly.