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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Nikolic, J. Rehder, J. Burri, M. Gohl, P. Leutenegger, S. Furgale, P.T. Siegwart, R. |
| Copyright Year | 2014 |
| Description | Author affiliation: Autonomous Syst. Lab., ETH Zurich, Zurich, Switzerland (Nikolic, J.; Rehder, J.; Burri, M.; Gohl, P.; Leutenegger, S.; Furgale, P.T.; Siegwart, R.) |
| Abstract | Robust, accurate pose estimation and mapping at real-time in six dimensions is a primary need of mobile robots, in particular flying Micro Aerial Vehicles (MAVs), which still perform their impressive maneuvers mostly in controlled environments. This work presents a visual-inertial sensor unit aimed at effortless deployment on robots in order to equip them with robust real-time Simultaneous Localization and Mapping (SLAM) capabilities, and to facilitate research on this important topic at a low entry barrier. Up to four cameras are interfaced through a modern ARM-FPGA system, along with an Inertial Measurement Unit (IMU) providing high-quality rate gyro and accelerometer measurements, calibrated and hardware-synchronized with the images. This facilitates a tight fusion of visual and inertial cues that leads to a level of robustness and accuracy which is difficult to achieve with purely visual SLAM systems. In addition to raw data, the sensor head provides FPGA-pre-processed data such as visual keypoints, reducing the computational complexity of SLAM algorithms significantly and enabling employment on resource-constrained platforms. Sensor selection, hardware and firmware design, as well as intrinsic and extrinsic calibration are addressed in this work. Results from a tightly coupled reference visual-inertial motion estimation framework demonstrate the capabilities of the presented system. |
| Starting Page | 431 |
| Ending Page | 437 |
| File Size | 1607243 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781479936854 |
| DOI | 10.1109/ICRA.2014.6906892 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-05-31 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cameras Simultaneous localization and mapping Field programmable gate arrays Calibration Synchronization Visualization Sensor Fusion Visual-Inertial Motion Estimation SLAM Camera IMU FPGA |
| Content Type | Text |
| Resource Type | Article |
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