碩士 / 東海大學 / 資訊工程學系 / 98 / Vehicle navigation systems often utilize Global Positioning System (GPS) to locate the position of a vehicle. Vehicles are normally operated in open spaces, where there are most likely stronger GPS signal reception. In recent years, more and more people commute by bicycle, or ride bicycles as a recreational activity. Bicycles are light and easy to handle, and thus, people often bike in locations where a GPS signal can be easily interfered with or blocked, such as in narrow alleys, tracks, or the woods. In order to solve the problem of an insufficient GPS signal, the Inertial Navigation System (INS) is generally applied to assist positioning in vehicle navigation systems. With the technology of Micro-Electro-Mechanical System (MEMS), the dimension and weight of the INS are decreased; however, the computation of an INS includes a gyroscope and an accelerometer, therefore becoming too heavy and ultimately unsuitable for use in the navigation of a bike.
This paper will apply a Dead Reckoning Module (DRM), including an electronic compass, tire revolution detector, and a GPS module, to locate the position of a bike. A Kalman Filter will be used to integrate the data obtained from the DRM and GPS. Since the surrounding environment of a bicycle is usually not as smooth as that of a vehicle, the measured data will contain more noise. The Kalman filter will be able to optimize the parameters of the dynamic system, and consequently obtain the approximate dead reckoning data. The approach of using DRM compensates the GPS for weak or interfered signals, such that more accurate and stable positioning data can be obtained. This research will increase the precision of bike navigation and can be applied in touring navigation as well as biking sports.
| Identifer | oai:union.ndltd.org:TW/098THU00394001 |
| Date | January 2010 |
| Creators | Cheng-Han Chang, 張正翰 |
| Contributors | Ching-Tsorng Tsai, 蔡清欉 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 66 |
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