scholarly journals Addressing corner detection issues for machine vision based UAV aerial refueling

2006 ◽  
Author(s):  
Soujanya Vendra
Keyword(s):  
Machine Vision ◽  
Corner Detection ◽  
Aerial Refueling

scholarly journals Addressing corner detection issues for machine vision based UAV aerial refueling

2007 ◽  
Vol 18 (5) ◽  
pp. 261-273 ◽  
Author(s):  
Soujanya Vendra ◽  
Giampiero Campa ◽  
Marcello R. Napolitano ◽  
Marco Mammarella ◽  
Mario L. Fravolini ◽  
...  
Keyword(s):  
Machine Vision ◽  
Corner Detection ◽  
Aerial Refueling

Autonomous Aerial Refueling for UAVs Using a Combined GPS-Machine Vision Guidance

2004 ◽  
Author(s):  
Giampiero Campa ◽  
Mario Luca Fravolini ◽  
Antonio Ficola ◽  
Marcello Napolitano ◽  
Brad Seanor ◽  
...  
Keyword(s):  
Machine Vision ◽  
Aerial Refueling ◽  
Vision Guidance

Autonomous Aerial Refueling for UAVs Based on GPS/MV

2012 ◽  
Vol 433-440 ◽  
pp. 4087-4094 ◽  
Author(s):  
Long Wang ◽  
Xin Min Dong ◽  
Jun Guo ◽  
Hai Yan Jia
Keyword(s):  
Kalman Filter ◽  
Machine Vision ◽  
Extended Kalman Filter ◽  
Reference Trajectory ◽  
Sensor Failure ◽  
Aerial Refueling ◽  
Control Laws ◽  
Measurement Models ◽  
Simulation Results ◽  
Docking Control

According to the UAV autonomous aerial refueling based on GPS/Machine Vision integration, the restrictions on the sensors during docking are analyzed. An adaptive Federal Kalman Filter (AFKF) is proposed, which is based on extended Kalman filter arithmetic, after modeling the sensors measurement models. Reference trajectory of docking is planed using cubic interpolators and docking control laws are designed with LQR. Simulation results show that the controller ensure the stabilized tracking and docking, and the AFKF outputs is continuous and stabilized during sensor failure comparing to centralize Kalman filter.

A comparison of Pose Estimation algorithms for Machine Vision based Aerial Refueling for UAVs

2006 ◽  
Author(s):  
Giampiero Campa ◽  
Marco Mammarella ◽  
Marcello R. Napolitano ◽  
Mario L. Fravolini ◽  
Lorenzo Pollini ◽  
...  
Keyword(s):  
Machine Vision ◽  
Pose Estimation ◽  
Aerial Refueling ◽  
Estimation Algorithms

Real-time machine-vision-based position sensing system for UAV aerial refueling

2007 ◽  
Vol 1 (3) ◽  
pp. 213-224 ◽  
Author(s):  
Rocco V. Dell’Aquila ◽  
Giampiero Campa ◽  
Marcello R. Napolitano ◽  
Marco Mammarella
Keyword(s):  
Machine Vision ◽  
Real Time ◽  
Time Machine ◽  
Aerial Refueling ◽  
Position Sensing ◽  
Sensing System

Machine Vision Algorithms for Autonomous Aerial Refueling for UAVs Using the USAF Refueling Boom Method

2010 ◽  
pp. 95-138 ◽  
Author(s):  
Mario L. Fravolini ◽  
Marco Mammarella ◽  
Giampiero Campa ◽  
Marcello R. Napolitano ◽  
Mario Perhinschi
Keyword(s):  
Machine Vision ◽  
Aerial Refueling

Research on Feature Edge Detection Method of Large-Size Components Based on Machine Vision

2012 ◽  
Vol 152-154 ◽  
pp. 1367-1372
Author(s):  
Qian Lu ◽  
You Hua Ge ◽  
Zhi Cui
Keyword(s):  
Machine Vision ◽  
Edge Detection ◽  
Detection Method ◽  
Corner Detection ◽  
Image Stitching ◽  
Size Measurement ◽  
Actual Application ◽  
Large Size ◽  
Imaging Model ◽  
Edge Detection Method

Aiming at the problems that existed in the actual application of traditional measurement methods for large-size components, the size measurement and detection method of large-size components based on machine vision was researched and discussed, and the imaging model was built, of which on the basis, the feature edge detection method was applied into the large-size components measurement, thus the image stitching algorithm based on feature edge detection was pointed out, and after simulation, the simulation result shows that the image stitching algorithm based on feature edge detection has good real-time performance compared with the traditional corner detection stitching algorithm, and the former has better accuracy than that of the latter. So the image stitching algorithm based on feature edge detection could enhance the accuracy and efficiency by taking use of large-size components measurement based on machine vision, and it is significative for enhancing the application level of large-size components measurement based on machine vision.

Machine Vision/GPS Integration Using EKF for the UAV Aerial Refueling Problem

2008 ◽  
Vol 38 (6) ◽  
pp. 791-801 ◽  
Author(s):  
Marco Mammarella ◽  
Giampiero Campa ◽  
Marcello R. Napolitano ◽  
Mario L. Fravolini ◽  
Yu Gu ◽  
...  
Keyword(s):  
Machine Vision ◽  
Aerial Refueling
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