Poit cloud SLAM with Microsoft Kinect
Revision as of 17:32, 31 December 2014 by AndreaBonarini
|Title:||Point cloud SLAM with Microsoft Kinect|| |
|Description:||Simultaneous Localization and Mapping (SLAM) is one of the basic functionalities required from an autonomous robot. In the past we have developed a framework for building SLAM algorithm based on the use of the Extended Kalman Filter and vision sensors. A recently available vision sensor which has tremendous potential for autonomous robots is the Microsoft Kinect RGB-D sensor. The thesis aims at the integration of the Kinect sensor in the framework developed for the development of a point cloud base system for SLAM.
Required skills or skills to be acquired:
|Students:||1 - 2|
|CFU:||10 - 20|
|Research Area:||Computer Vision and Image Analysis|