Difference between revisions of "Poit cloud SLAM with Microsoft Kinect"
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Revision as of 18:04, 16 April 2012
| Title: | Poit cloud SLAM with Microsoft Kinect |  Image:PointCloudKinect.jpg |
| 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.
Material:
Expected outcome:
Required skills or skills to be acquired:
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| Tutor: | MatteoMatteucci (matteo.matteucci@polimi.it), SimoneCeriani (ceriani@elet.polimi.it) | |
| Start: | 2012/04/01 | |
| Students: | 1 - 2 | |
| CFU: | 10 - 20 | |
| Research Area: | Computer Vision and Image Analysis | |
| Research Topic: | none | |
| Level: | Bs, Ms | |
| Type: | Thesis | |
| Status: | Active |
