scholarly journals Comparison of Three Machine Vision Pose Estimation Systems Based on Corner, Line, and Ellipse Extraction for Satellite Grasping

2012 ◽  
Author(s):  
Jeremy A. Luckett
Keyword(s):  
Machine Vision ◽  
Pose Estimation

Addressing pose estimation issues for machine vision based UAV autonomous serial refuelling

2007 ◽  
Vol 111 (1120) ◽  
pp. 389-396 ◽  
Author(s):  
G. Campa ◽  
M. R. Napolitano ◽  
M. Perhinschi ◽  
M. L. Fravolini ◽  
L. Pollini ◽  
...  
Keyword(s):  
Machine Vision ◽  
Pose Estimation ◽  
Estimation Algorithm ◽  
Computational Effort ◽  
Unmanned Aircraft ◽  
Light Sources ◽  
Estimation Algorithms ◽  
Trade Offs ◽  
Labeling Algorithms ◽  
Selection Of

Abstract This paper describes the results of an effort on the analysis of the performance of specific ‘pose estimation’ algorithms within a Machine Vision-based approach for the problem of aerial refuelling for unmanned aerial vehicles. The approach assumes the availability of a camera on the unmanned aircraft for acquiring images of the refuelling tanker; also, it assumes that a number of active or passive light sources – the ‘markers’ – are installed at specific known locations on the tanker. A sequence of machine vision algorithms on the on-board computer of the unmanned aircraft is tasked with the processing of the images of the tanker. Specifically, detection and labeling algorithms are used to detect and identify the markers and a ‘pose estimation’ algorithm is used to estimate the relative position and orientation between the two aircraft. Detailed closed-loop simulation studies have been performed to compare the performance of two ‘pose estimation’ algorithms within a simulation environment that was specifically developed for the study of aerial refuelling problems. Special emphasis is placed on the analysis of the required computational effort as well as on the accuracy and the error propagation characteristics of the two methods. The general trade offs involved in the selection of the pose estimation algorithm are discussed. Finally, simulation results are presented and analysed.

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

scholarly journals Maximum likelihood pose estimation using machine vision

2019 ◽  
Vol 40 (2) ◽  
pp. 64-70
Author(s):  
QU Yepin ◽  
ZHANG Chaoran ◽  
LYU Yuhai
Keyword(s):  
Maximum Likelihood ◽  
Machine Vision ◽  
Pose Estimation

scholarly journals Far and proximity maneuvers of a constellation of service satellites and autonomous pose estimation of customer satellite using machine vision

2010 ◽  
Vol 66 (9-10) ◽  
pp. 1493-1505 ◽  
Author(s):  
Gilberto Arantes ◽  
Evandro Marconi Rocco ◽  
Ijar M. da Fonseca ◽  
Stephan Theil
Keyword(s):  
Machine Vision ◽  
Pose Estimation

Pipe Pose Estimation Based on Machine Vision

Measurement ◽  
2021 ◽  
pp. 109585
Author(s):  
Jia Hu ◽  
Shaoli Liu ◽  
Jianhua Liu ◽  
Zhi Wang ◽  
Hao Huang
Keyword(s):  
Machine Vision ◽  
Pose Estimation

Machine Vision

2009 ◽  
Author(s):  
Wesley E. Snyder ◽  
Hairong Qi
Keyword(s):  
Machine Vision
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