Title
Efficient Optical Flow and Stereo Vision for Velocity Estimation and Obstacle Avoidance on an Autonomous Pocket Drone.
Abstract
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 McGuire1254.06
Guido de Croon2111.22
Christophe De Wagter3265.42
Karl Tuyls41272127.83
Hilbert J. Kappen5834103.74