Name
Title | ||
|---|---|---|
Detecting and avoiding frontal obstacles from monocular camera for micro unmanned aerial vehicles. |
Abstract | ||
|---|---|---|
In literature, several approaches are trying to make the UAVs fly autonomously i.e., by extracting perspective cues such as straight lines. However, it is only available in well-defined human made environments, in addition to many other cues which require enough texture information. Our main target is to detect and avoid frontal obstacles from a monocular camera using a quad rotor Ar.Drone 2 by exploiting optical flow as a motion parallax, the drone is permitted to fly at a speed of 1 m/s and an altitude ranging from 1 to 4 meters above the ground level. In general, detecting and avoiding frontal obstacle is a quite challenging problem because optical flow has some limitation which should be taken into account i.e. lighting conditions and aperture problem. |
Year | Venue | Field |
|---|---|---|
2016 | arXiv: Robotics | Aperture,Computer vision,Obstacle,Parallax,Detect and avoid,Simulation,Monocular camera,Ranging,Drone,Artificial intelligence,Engineering,Optical flow |
DocType | Volume | Citations |
Journal | abs/1603.09422 | 0 |
PageRank | References | Authors |
0.34 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| mohamed elawady | 1 | 3 | 2.76 |
| i s sadek | 2 | 11 | 4.29 |
| Hiliwi Kidane | 3 | 0 | 0.34 |