Implementation, improvement, and testing of robotic vision algorithms
The report describes point cloud and RGB pose estimation systems implemented in robotics applications. Speed improvements for point cloud based pose estimation were developed and their results discussed. A fiducial marker, RGB-D based pose estimation was developed, proving to be the superior alterna...
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| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2017
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| Online Access: | http://hdl.handle.net/10356/71981 |
| _version_ | 1826118871995645952 |
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| author | Chew, Ivan Sze Wei |
| author2 | Pham Quang Cuong |
| author_facet | Pham Quang Cuong Chew, Ivan Sze Wei |
| author_sort | Chew, Ivan Sze Wei |
| collection | NTU |
| description | The report describes point cloud and RGB pose estimation systems implemented in robotics applications. Speed improvements for point cloud based pose estimation were developed and their results discussed. A fiducial marker, RGB-D based pose estimation was developed, proving to be the superior alternative. The concept is explained and the development process described in detail. In-depth accuracy analysis of the camera system used was also performed and detailed. |
| first_indexed | 2024-10-01T04:50:37Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/71981 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:50:37Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | ntu-10356/719812023-03-04T19:24:18Z Implementation, improvement, and testing of robotic vision algorithms Chew, Ivan Sze Wei Pham Quang Cuong School of Mechanical and Aerospace Engineering Robotics Research Centre DRNTU::Engineering::Mechanical engineering The report describes point cloud and RGB pose estimation systems implemented in robotics applications. Speed improvements for point cloud based pose estimation were developed and their results discussed. A fiducial marker, RGB-D based pose estimation was developed, proving to be the superior alternative. The concept is explained and the development process described in detail. In-depth accuracy analysis of the camera system used was also performed and detailed. Bachelor of Engineering (Mechanical Engineering) 2017-05-23T06:34:50Z 2017-05-23T06:34:50Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/71981 en Nanyang Technological University 46 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Mechanical engineering Chew, Ivan Sze Wei Implementation, improvement, and testing of robotic vision algorithms |
| title | Implementation, improvement, and testing of robotic vision algorithms |
| title_full | Implementation, improvement, and testing of robotic vision algorithms |
| title_fullStr | Implementation, improvement, and testing of robotic vision algorithms |
| title_full_unstemmed | Implementation, improvement, and testing of robotic vision algorithms |
| title_short | Implementation, improvement, and testing of robotic vision algorithms |
| title_sort | implementation improvement and testing of robotic vision algorithms |
| topic | DRNTU::Engineering::Mechanical engineering |
| url | http://hdl.handle.net/10356/71981 |
| work_keys_str_mv | AT chewivanszewei implementationimprovementandtestingofroboticvisionalgorithms |