Title | ||
---|---|---|
Efficient Optical Flow and Stereo Vision for Velocity Estimation and Obstacle Avoidance on an Autonomous Pocket Drone. |
Abstract | ||
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Micro Aerial Vehicles (FOV) are very suitable for flying in indoor environments, but autonomous navigation is challenging due to their strict hardware limitations. This paper presents a highly efficient computer vision algorithm called Edge-FS for the determination of velocity and depth. It runs at 20 Hz on a 4 g stereo camera with an embedded STM32F4 microprocessor (168 MHz, 192 kB) and uses edge... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/LRA.2017.2658940 | IEEE Robotics and Automation Letters |
Keywords | DocType | Volume |
Image edge detection,Optical imaging,Drones,Cameras,Optical sensors,Navigation | Journal | 2 |
Issue | ISSN | Citations |
2 | IEEE Robotics and Automation Letters, 2017, 2, 1070-1076 | 9 |
PageRank | References | Authors |
0.53 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kimberly McGuire | 1 | 25 | 4.06 |
Guido de Croon | 2 | 11 | 1.22 |
Christophe De Wagter | 3 | 26 | 5.42 |
Karl Tuyls | 4 | 1272 | 127.83 |
Hilbert J. Kappen | 5 | 834 | 103.74 |