Simultaneous Localization and Mapping with the Kinect sensor

Final Report for Study of Simultaneous Localization and Mapping ( SLAM ) Using the Kinect Sensor

6D Visual SLAM for RGB-D Sensors

This paper presents an approach to 6-DOF simultaneous localization and mapping (SLAM) particularly suited for collision avoidance in visually guided robotic manipulation tasks in dynamic or unknown environments. We exploit the properties of novel RGB-D sensors such as the Microsoft Kinect to build highly accurate voxel maps.

Performance Analysis of the Microsoft Kinect Sensor for 2D Simultaneous Localization and Mapping (SLAM) Techniques

This paper presents a performance analysis of two open-source, laser scanner-based Simultaneous Localization and Mapping (SLAM) techniques (i.e., Gmapping and Hector SLAM) using a Microsoft Kinect to replace the laser sensor. Furthermore, the paper proposes a new system integration approach whereby a Linux virtual machine is used to run the open source SLAM algorithms. The experiments were cond...

The Performance Analysis of an Indoor Mobile Mapping System with Rgb-d Sensor

Over the years, Mobile Mapping Systems (MMSs) have been widely applied to urban mapping, path management and monitoring and cyber city, etc. The key concept of mobile mapping is based on positioning technology and photogrammetry. In order to achieve the integration, multi-sensor integrated mapping technology has clearly established. In recent years, the robotic technology has been rapidly devel...

Map-merging in Multi-robot Simultaneous Localization and Mapping Process Using Two Heterogeneous Ground Robots

In this article, a fast and reliable map-merging algorithm is proposed to produce a global two dimensional map of an indoor environment in a multi-robot simultaneous localization and mapping (SLAM) process. In SLAM process, to find its way in this environment, a robot should be able to determine its position relative to a map formed from its observations. To solve this complex problem, simultan...