Name
Abstract | ||
|---|---|---|
The application of optical flow algorithms to guidance and navigation problems has gained considerable interest in recent years. This paper summarizes the results of a comparative study on the accuracy of nine different optical flow (OF) algorithms using videos that are captured from an on-board camera during the flight of an autonomous aircraft model. The comparison among the algorithms relies on two formulas that are used both to calculate the ideal OF generated by the motion of a rigid body in the camera field of view and to estimate the linear and angular velocity from the OF. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TSMCC.2012.2218806 | IEEE Transactions on Systems, Man, and Cybernetics, Part C |
Keywords | Field | DocType |
camera field-of-view,on-board camera,video signal processing,navigation problem,image processing,rigid body motion,optical flow algorithm,video cameras,of algorithm,autonomous aircraft model flight,machine vision,angular velocity,real-world rigid object,angular velocity estimation,video,image sequences,optical flow (of),computer vision,guidance problem,6-dof motion,linear velocity estimation,image motion analysis | Field of view,Computer vision,Angular velocity,Motion field,Computer science,Image processing,Algorithm,Rigid body,Artificial intelligence,Motion estimation,Optical flow | Journal |
Volume | Issue | ISSN |
42 | 6 | 1094-6977 |
Citations | PageRank | References |
7 | 0.52 | 19 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marco Mammarella | 1 | 42 | 4.84 |
| G. Campa | 2 | 102 | 12.38 |
| Mario Luca Fravolini | 3 | 50 | 12.71 |
| Marcello R. Napolitano | 4 | 56 | 12.38 |