Name
Abstract | ||
|---|---|---|
This paper describes the design of a Real Time Machine-Vision (MV) Position Sensing System for the problem of Semi-Autonomous
Docking within Aerial Refueling (AR) for Unmanned Aerial Vehicles (UAVs). In this effort, techniques and algorithms have been
developed and extensively tested in the MATLAB/Simulink® Soft Real-Time environment as well as in Linux/RTAI Hard Real-Time environment. The overall MV software performs several
tasks, such as the image acquisition from a real camera, the Feature Extraction (FE) from the acquired image, the Detection
and Labeling (DAL) of the features, and the tanker-UAV Pose Estimation (PE). A Cyclic Asynchronous Buffer (CAB) mechanism
was implemented for inter-process communication among Real Time and Non Real Time processes. The entire sensing system was
tested using an 800 MHz PC-104 computer. The results confirmed the feasibility of executing image processing algorithms in
real-time using off-the-shelf commercial hardware to obtain reliable relative position and orientation estimations. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/s11554-007-0023-3 | J. Real-Time Image Processing |
Keywords | Field | DocType |
real-time image acquisition � inter-process communicationestimation � visual servo control,image processing,feature extraction,pose estimation,software performance,real time,machine vision,inter process communication | Computer vision,MATLAB,Machine vision,Computer science,RTAI,Pose,Feature extraction,Real-time computing,Software,Artificial intelligence,Inter-process communication,Digital image processing | Journal |
Volume | Issue | ISSN |
1 | 3 | 1861-8219 |
Citations | PageRank | References |
3 | 0.48 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rocco V. Dell’Aquila | 1 | 3 | 0.48 |
| G. Campa | 2 | 102 | 12.38 |
| Marcello R. Napolitano | 3 | 56 | 12.38 |
| Marco Mammarella | 4 | 42 | 4.84 |