Simultaneous localization and map building for outdoor mobile robot navigation
Simultaneous Localization and Map Building (SLAM) is currently an active re- search asea in autonomous ground vehicles (AGVs). The SLAM problem asks if it is possible for an autonomous vehicle to start at an unknown location in an unknown environment and then to incrementally build a map of this env...
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| Format: | Thesis |
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2008
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| Online Access: | https://hdl.handle.net/10356/4124 |
| _version_ | 1811684231078739968 |
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| author | Zhang, Sen |
| author2 | Martin David Adams |
| author_facet | Martin David Adams Zhang, Sen |
| author_sort | Zhang, Sen |
| collection | NTU |
| description | Simultaneous Localization and Map Building (SLAM) is currently an active re- search asea in autonomous ground vehicles (AGVs). The SLAM problem asks if it is possible for an autonomous vehicle to start at an unknown location in an unknown environment and then to incrementally build a map of this environment while simultaneously using this map to compute absolute vehicle location. Solving this problem would allow an AGV to be deployed easily, with very little initializa- tion requirement and enable it to be truly autonomous that can deal with changes in the environment. |
| first_indexed | 2024-10-01T04:25:20Z |
| format | Thesis |
| id | ntu-10356/4124 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T04:25:20Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/41242023-07-04T17:16:45Z Simultaneous localization and map building for outdoor mobile robot navigation Zhang, Sen Martin David Adams Xie Lihua School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering DRNTU::Engineering::Mechanical engineering::Robots Simultaneous Localization and Map Building (SLAM) is currently an active re- search asea in autonomous ground vehicles (AGVs). The SLAM problem asks if it is possible for an autonomous vehicle to start at an unknown location in an unknown environment and then to incrementally build a map of this environment while simultaneously using this map to compute absolute vehicle location. Solving this problem would allow an AGV to be deployed easily, with very little initializa- tion requirement and enable it to be truly autonomous that can deal with changes in the environment. DOCTOR OF PHILOSOPHY (EEE) 2008-09-17T09:45:01Z 2008-09-17T09:45:01Z 2006 2006 Thesis Zhang, S. (2006). Simultaneous localization and map building for outdoor mobile robot navigation. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/4124 10.32657/10356/4124 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering DRNTU::Engineering::Mechanical engineering::Robots Zhang, Sen Simultaneous localization and map building for outdoor mobile robot navigation |
| title | Simultaneous localization and map building for outdoor mobile robot navigation |
| title_full | Simultaneous localization and map building for outdoor mobile robot navigation |
| title_fullStr | Simultaneous localization and map building for outdoor mobile robot navigation |
| title_full_unstemmed | Simultaneous localization and map building for outdoor mobile robot navigation |
| title_short | Simultaneous localization and map building for outdoor mobile robot navigation |
| title_sort | simultaneous localization and map building for outdoor mobile robot navigation |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering DRNTU::Engineering::Mechanical engineering::Robots |
| url | https://hdl.handle.net/10356/4124 |
| work_keys_str_mv | AT zhangsen simultaneouslocalizationandmapbuildingforoutdoormobilerobotnavigation |