Difference between revisions of "C-SLAM"
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The main idea is to extract high level features, like objects in the image and use them to localize an autonomous robot. | The main idea is to extract high level features, like objects in the image and use them to localize an autonomous robot. | ||
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| + | =Logical Structure= | ||
| + | [[File:C_slam_logic.svg|400px|center]] | ||
Revision as of 11:20, 4 October 2014
C-SLAM
| |
| Short Description: | Development of a Cognitive SLAM system |
| Coordinator: | AndreaBonarini (andrea.bonarini@polimi.it) |
| Tutor: | AndreaBonarini (andrea.bonarini@polimi.it) |
| Collaborator: | |
| Students: | DavideTateo (davide.tateo@polimi.it) |
| Research Area: | Robotics |
| Research Topic: | Robot development |
| Start: | 2013/04/12 |
| End: | 2014/10/31 |
| Status: | Active |
| Level: | Ms |
| Type: | Thesis |
The Aim of this project is to build a Cognitive SLAM system.
The main idea is to extract high level features, like objects in the image and use them to localize an autonomous robot.
Logical Structure
System Architecture
The system is developed using the ROS middleware. The sensor fusion algorithm used to implement localization is developed using the ROAMFREE library.
