碩士 / 國立臺灣科技大學 / 機械工程系 / 94 / It is a thing of the trouble in the strange city to drives, how to efficient reach the destination without getting lost then just use navigation system except for depend on traditional paper map. Navigate system usually use the only sensor (GPS signal) in positioning application, now. However, in urban environments GPS signal may be lost because of the surrounding blockages, and multi path effect, generally use INS to solve this problem. Integration of GPS and INS usually use kalman filter, but it is unsuitable use in navigation system because it needed high-order CPU to be work and navigation system is the embedded system of the operation with worse ability. So will compare the good and bad of kalman filter and complementary filter in this thesis. Analysis whether using the complementary replace kalman filter feasibility, and probe into the use that of constrain motion to reduce sensor.
| Identifer | oai:union.ndltd.org:TW/094NTUS5489069 |
| Date | January 2006 |
| Creators | Liang-Chi Huang, 黃良吉 |
| Contributors | Wei-Wen Kao, 高維文 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 96 |
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