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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Rynn, W. Malik, W.A. Sooyong Lee |
| Copyright Year | 2003 |
| Description | Author affiliation: Dept. of Mech. Eng., Texas A&M Univ., College Station, TX, USA (Rynn, W.; Malik, W.A.; Sooyong Lee) |
| Abstract | An approach for multiple mobile robot localization using inexpensive infrared sensors and CMOS cameras is presented. A multiple robot system is treated as a virtual linked robot. Using the virtual link length and the relative heading information in conjunction with sensor scan data for each robot in the system, the entire system can effectively be localized without investing heavily in sensors. In order to facilitate collaboration and exploit geometry, a team must be able to extract salient information from the collective sensing of all its members. By collecting and fusing sensor information from multiple, distinct positions, the effective resolution of the space can be improved beyond that of the individual measurements. The proposed localization method is verified via both simulation and experiment. |
| Sponsorship | IEEE Robotics & Autom. Soc. IEEE Ind. Electron. Soc. Robotics Soc. Japan Soc. Instrum. & Control Eng. New Technol. Found |
| Starting Page | 1771 |
| Ending Page | 1776 |
| File Size | 368219 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780378601 |
| DOI | 10.1109/IROS.2003.1248900 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-10-27 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Mobile robots Robot sensing systems Sensor systems Infrared sensors Robot vision systems CMOS image sensors Cameras Collaboration Computational geometry Information geometry |
| Content Type | Text |
| Resource Type | Article |
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