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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Qingmei Yang Jianmin Sun |
| Copyright Year | 2006 |
| Description | Author affiliation: Beijing Union Univ., Beijing (Qingmei Yang) |
| Abstract | Data fusion techniques are widely used in intelligent Vehicles, modern industry, as well as in applications where accuracy is of a main concern. In this paper, location system of an autonomous land vehicle is studied. The location system of autonomous land vehicle is a key to the autonomous land vehicle. With contrast of relative location methods and absolute location methods, location system of an autonomous land vehicle is designed. With the analysis of general data fusion, a fusion location algorithm based on Kalman filter is advanced in this paper. The fusion location algorithm is simulated. The simulation results show that it can efficiently reduce the location error. Furthermore, the fusion location can increase the reliability of the an autonomous land vehicle. |
| Starting Page | 314 |
| Ending Page | 318 |
| File Size | 2084679 |
| Page Count | 5 |
| File Format | |
| ISBN | 1424407583 |
| DOI | 10.1109/ICVES.2006.371606 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-12-13 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Real time systems Location system Kalman Filter Sensor fusion Sensor systems Mobile robots Sun Remotely operated vehicles Data Fusion Intelligent vehicles Bayesian methods Land vehicles |
| Content Type | Text |
| Resource Type | Article |
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