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A synchronized visual-inertial sensor system with FPGA pre-processing for accurate real-time SLAM
| Content Provider | Semantic Scholar |
|---|---|
| Author | Nikolic, Janosch Rehder, Jörn Burri, Michael Gohl, Pascal Leutenegger, Stefan Furgale, Paul Timothy Siegwart, Roland |
| Copyright Year | 2014 |
| 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 |
| Page Count | 7 |
| File Format | PDF HTM / HTML |
| DOI | 10.3929/ethz-a-010061790 |
| Alternate Webpage(s) | https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/81914/eth-8003-01.pdf?isAllowed=y&sequence=1 |
| Alternate Webpage(s) | https://doi.org/10.3929/ethz-a-010061790 |
| Journal | ICRA 2014 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
