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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Walter, C. Schulenburg, E. Poggendorf, M. Elkmann, N. |
| Copyright Year | 2011 |
| Description | Author affiliation: Dept. of Robotic Systems, Fraunhofer Institute for Factory Operation and Automation (IFF), Magdeburg, Germany (Walter, C.; Schulenburg, E.; Poggendorf, M.; Elkmann, N.) |
| Abstract | Here we present a sensor-system that integrates two low cost CMOS cameras, LED illumination, 3-axis MEMS gyroscopes and accelerometers, and a data processing node in a compact shell. The sensor-system supports different modes of operation including incremental position tracking, visual self localization and mapping, inertial navigation, pose estimation using artificial landmarks, as well as combinations of the mentioned techniques depending on application scenario and environment conditions. In contrast to existing work we use the output of the inertial measurement unit not only to provide estimates on the systems pose but also to suppress camera output during unfavorable movement thus improving the performance of image processing while reducing utilization of overall system resources, resulting in a dynamically adapting quality of service. |
| Starting Page | 1804 |
| Ending Page | 1807 |
| File Size | 882673 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424492909 |
| ISSN | 19300395 |
| e-ISBN | 9781424492893 |
| DOI | 10.1109/ICSENS.2011.6127113 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-10-28 |
| Publisher Place | Ireland |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cameras Robot vision systems Mobile communication Mobile robots |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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