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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li Wei Wu Chieh-Cheng Cheng Wei-Han Liu Jwu-Sheng Hu |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. of Electr. & Control Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan (Li Wei Wu) |
| Abstract | This investigation proposes a robust robot localization system. The system contains a novel Gaussian mixture-sound field landmark model (GM-SFLM) and can localize the robot accurately in noisy environments. Moreover, the proposed method depends nothing on the geometry relation between source locations and two microphones; it is able to cover both near-field and far-field problems. With this proposed GM-SFLM, we can localize robot in 2-dimensional indoor environments. Furthermore, we realize the GM-SFLM into a quadruped robot system composed of an eRobot and a robot agent by using embedded Ethernet technology. The experiment demonstrates that when the robot is completely non-line-of-sight, this system still provides high detection accuracy. Additionally, the proposed method has advantages of high accuracy, low-cost, easy to implement and environmental adaptation. |
| Starting Page | 438 |
| Ending Page | 443 |
| File Size | 313299 |
| Page Count | 6 |
| File Format | |
| ISBN | 078039044X |
| DOI | 10.1109/ICMA.2005.1626587 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-07-29 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robot localization Microphones Robot sensing systems Acoustic sensors Sensor arrays Image sensors Wireless sensor networks Acoustic noise Radio navigation Costs |
| Content Type | Text |
| Resource Type | Article |
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