Thesis Topic Details
Topic ID: |
3427 | |
Title: |
Semantic Mapping with Mobile Robots | |
Supervisor: |
Maurice Pagnucco | |
Research Area: |
Artificial Intelligence, Computer Vision, Algorithms | |
| Associated Staff | ||
|---|---|---|
Assessor: |
Claude Sammut | |
| Topic Details | ||
Status: |
Active | |
Type: |
R & D | |
Programs: |
CS CE SE | |
Group Suitable: |
No | |
Industrial: |
No | |
Pre-requisites: |
COMP3411 | |
Description: |
Semantic mapping involves understanding the environment and making sense of it by identifying objects in the environment and the purpose of locations. For example, if one were in the kitchen you would expect to see objects likes plates, cups, cutlery, etc. Moreover, if you were in a room where you found plates, cups, cutlery, etc. you would identify it as the kitchen. In this project we use Google Goggles supplemented by computer vision techniques to identify objects using a mobile robot and then infer the nature and purpose of locations in the environment. |
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Comments: |
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| Past Student Reports | ||
| No Reports Available. Contact the supervisor for more information.
Check out all available reports in the CSE Thesis Report Library. NOTE: only current CSE students can login to view and select reports to download. |
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