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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jing Fu Tao Mei Hui Zhu Huawei Liang Biao Yu |
| Copyright Year | 2014 |
| Description | Author affiliation: Inst. of Intell. Machines, Hefei, China (Jing Fu) || Inst. of Adv. Manuf. Technol., Changzhou, China (Tao Mei; Hui Zhu; Huawei Liang; Biao Yu) |
| Abstract | The localization information is the premise of robot autonomous navigation. In this paper, intelligent vehicle is used as a platform for the present study. We perceive motion information and environment signpost information through wheel speed sensor and laser infrared radar SICK respectively, and realize the global localization of the vehicle with the fusion of the particle filter algorithm. The experimental result shows that when the environment signpost position is known, the global positioning error can be less than 1m. |
| Starting Page | 1669 |
| Ending Page | 1673 |
| File Size | 1041790 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479939787 |
| e-ISBN | 9781479939794 |
| DOI | 10.1109/ICMA.2014.6885951 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-08-03 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robot sensing systems Vehicles Particle filters Mobile robots Robot kinematics Radar tracking particle filter localization SICK signpost |
| Content Type | Text |
| Resource Type | Article |
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