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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Brockers, R. Hummenberger, M. Weiss, S. Matthies, L. |
| Copyright Year | 2014 |
| Abstract | Micro air vehicles such as miniature rotorcrafts require high-precision and fast localization updates for their control, but cannot carry large payloads. Therefore, only small and light-weight sensors and processing units can be deployed on such platforms, favoring vision-based solutions that use light weight cameras and run on small embedded computing platforms. In this paper, we propose a navigation framework to provide a small quadrotor UAV with accurate state estimation for high speed control including 6DoF pose and sensor self-calibration. Our method allows very fast deployment without prior calibration procedures literally rendering the vehicle a throw-and-go platform. Additionally, we demonstrate hazard-avoiding autonomous landing to showcase a high-level navigation capability that relies on the low-level pose estimation results and is executed on the same embedded platform. We explain our hardware-specific implementation on a 12g processing unit and show real-world end-to-end results. |
| Sponsorship | IEEE Comput. Soc. |
| Starting Page | 645 |
| Ending Page | 651 |
| File Size | 1223906 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781479943081 |
| ISSN | 21607516 |
| DOI | 10.1109/CVPRW.2014.98 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-06-23 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computers Micro Air Vehicle autonomous landing Three-dimensional displays Navigation autonomous navigation embedded computing vision based state estimation Estimation Cameras Sensors Vehicles |
| Content Type | Text |
| Resource Type | Article |
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