EKF based simultaneous localization and mapping
51 p.
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2011
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| Online Access: | http://hdl.handle.net/10356/46783 |
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| Institution: | Nanyang Technological University |
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sg-ntu-dr.10356-467832023-07-04T15:31:30Z EKF based simultaneous localization and mapping Reeti Burman Wang Han School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering 51 p. This thesis presents a solution to Simultaneous Localization and Mapping (SLAM) problem, which comprises of two tasks to be done simultaneously, that is, localizing robot's pose and building up a map, using data generated from scan-matching algorithm as estimated odometry data. An Extended Kalman filter approach is used to process the scan-matching data obtained from the information acquired from die laser scanner mounted on the robot. Master of Science (Computer Control and Automation) 2011-12-23T09:53:13Z 2011-12-23T09:53:13Z 2010 2010 Thesis http://hdl.handle.net/10356/46783 Nanyang Technological University application/pdf |
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Nanyang Technological University |
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Singapore Singapore |
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DRNTU::Engineering::Electrical and electronic engineering |
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DRNTU::Engineering::Electrical and electronic engineering Reeti Burman EKF based simultaneous localization and mapping |
| description |
51 p. |
| author2 |
Wang Han |
| author_facet |
Wang Han Reeti Burman |
| format |
Theses and Dissertations |
| author |
Reeti Burman |
| author_sort |
Reeti Burman |
| title |
EKF based simultaneous localization and mapping |
| title_short |
EKF based simultaneous localization and mapping |
| title_full |
EKF based simultaneous localization and mapping |
| title_fullStr |
EKF based simultaneous localization and mapping |
| title_full_unstemmed |
EKF based simultaneous localization and mapping |
| title_sort |
ekf based simultaneous localization and mapping |
| publishDate |
2011 |
| url |
http://hdl.handle.net/10356/46783 |
| _version_ |
1772826343710392320 |