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DC Field | Value | Language |
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dc.contributor.author | Cheng, Huixin. | en_US |
dc.date.accessioned | 2008-09-17T09:32:25Z | - |
dc.date.available | 2008-09-17T09:32:25Z | - |
dc.date.copyright | 2004 | en_US |
dc.date.issued | 2004 | - |
dc.identifier.uri | http://hdl.handle.net/10356/3560 | - |
dc.description.abstract | In order to have an autonomous robot, the robot must be able to navigate independently within an environment. Navigation is thus a critical task for mobile robots. It is a broad topic, covering a large spectrum of different technologies and applications. It draws on some of the most advanced space science and engineering. Mobile robots navigation via natural landmarks has been gradually used in the real time. Such a navigation strategy relies on identification and subsequent recognition of distinctive environment features or objects that are either known a prior or extracted dynamically. This process is inherently difficult in practice due to noise in sensors and changes in the real world. This dissertation is to study the various existing navigating technologies via natural landmark, and, identify the major areas that are most commonly used, and to discuss appropriate applications for using these technologies. | en_US |
dc.rights | Nanyang Technological University | en_US |
dc.subject | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation | - |
dc.title | Mobile robot navigation via natural landmark - a study | en_US |
dc.type | Thesis | en_US |
dc.contributor.supervisor | Ho, Yeong Khing | en_US |
dc.contributor.school | School of Electrical and Electronic Engineering | en_US |
dc.description.degree | Master of Science (Computer Control and Automation) | en_US |
item.grantfulltext | restricted | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | EEE Theses |
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File | Description | Size | Format | |
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EEE-THESES_141.pdf Restricted Access | 17.37 MB | Adobe PDF | View/Open |
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