Position estimation of autonomous guided vehicle
This thesis presents the development and application of a sensor fusion algorithm in positioning. The theoretical background behind the algorithm is based on the extended Kalman filter. By merging information from different sensors such as the Differential Global Positioning System (DGPS), rate g...
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| Format: | Thesis |
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2008
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| Online Access: | http://hdl.handle.net/10356/4296 |