Mobile robot odometry module with image registration methods
109 p.
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2011
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| Online Access: | http://hdl.handle.net/10356/46824 |
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| Institution: | Nanyang Technological University |
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sg-ntu-dr.10356-468242023-07-04T16:02:47Z Mobile robot odometry module with image registration methods Wang, Xian. Wang Han School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering 109 p. This thesis addresses the problem of odometry data estimation using primarily the laser scanner as data input for mobile robot. That data can also be used for SLAM and navigation task. On some low cost mobile robots, inertial measuring units and odometry sensors are not available. The odometry module performs image registration task on scan images to estimate odometry information. The task becomes different from most image registration applications due to the laser scanning images that are composed with scatted dots, which cannot represent accurate edge position of obstacles. Master of Science (Computer Control and Automation) 2011-12-23T09:58:40Z 2011-12-23T09:58:40Z 2010 2010 Thesis http://hdl.handle.net/10356/46824 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering |
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DRNTU::Engineering::Electrical and electronic engineering Wang, Xian. Mobile robot odometry module with image registration methods |
| description |
109 p. |
| author2 |
Wang Han |
| author_facet |
Wang Han Wang, Xian. |
| format |
Theses and Dissertations |
| author |
Wang, Xian. |
| author_sort |
Wang, Xian. |
| title |
Mobile robot odometry module with image registration methods |
| title_short |
Mobile robot odometry module with image registration methods |
| title_full |
Mobile robot odometry module with image registration methods |
| title_fullStr |
Mobile robot odometry module with image registration methods |
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Mobile robot odometry module with image registration methods |
| title_sort |
mobile robot odometry module with image registration methods |
| publishDate |
2011 |
| url |
http://hdl.handle.net/10356/46824 |
| _version_ |
1772828203257167872 |