In this paper, we present a novel benchmark for the evaluation of RGB-D SLAM systems. We
recorded a large set of image sequences from a Microsoft Kinect with highly accurate and …

This dissertation is concerned with three-dimensional (3D) sensing and 3D scan
representation. Three-dimensional records are important tools in several, quite diverse …

Abstract 6D SLAM (simultaneous localization and map**) or 6D concurrent localization
and map** of mobile robots considers six dimensions for the robot pose, namely, the x, y …

A globally consistent solution to the simultaneous localization and map** (SLAM) problem
in 2D with three degrees of freedom (DoF) poses was presented by Lu and Milios [F. Lu, E …

In develo** autonomous solutions for map** and localization, one problem that often
needs to be dealt with is determining when an area is revisited despite having poor or no …

Focuses on acquiring spatial models of physical environments through mobile robots The
robotic map** problem is commonly referred to as SLAM (simultaneous localization and …

We propose a new approach to appearance‐based loop detection for mobile robots, using
three‐dimensional (3D) laser scans. Loop detection is an important problem in the …

In this paper, we present the TUM RGB-D benchmark for visual odometry and SLAM
evaluation and report on the first use-cases and users of it outside our own group. The …

Recently, autonomous vehicle's self-localization based on the matching of laser scanner
data to the high definition (HD) map become more popular due to the availability of HD map …

This study addresses multi-view Terrestrial Laser Scanning Point Cloud data registration
methods. Multiple rigid point cloud data registration is mandatory for aligning all scans into a …