2007
DOI: 10.1017/s0001924000004644
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Addressing pose estimation issues for machine vision based UAV autonomous serial refuelling

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 vi… Show more

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Cited by 11 publications
(3 citation statements)
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“…Autonomous aerial refueling (AAR) has been used for greatly improving the unmanned aerial vehicle effectiveness, but there are still many challenges remaining. [1][2][3][4][5][6][7] Considering the economy and flexibility, much attention has been paid to UAV probe-drogue autonomous aerial refueling (UAV-PD-AAR). [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24] The docking phase of UAV-PD-AAR will be considered exclusively in this research.…”
Section: Introductionmentioning
confidence: 99%
“…Autonomous aerial refueling (AAR) has been used for greatly improving the unmanned aerial vehicle effectiveness, but there are still many challenges remaining. [1][2][3][4][5][6][7] Considering the economy and flexibility, much attention has been paid to UAV probe-drogue autonomous aerial refueling (UAV-PD-AAR). [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24] The docking phase of UAV-PD-AAR will be considered exclusively in this research.…”
Section: Introductionmentioning
confidence: 99%
“…AAR has been an extensively researched topic for the last several years. Many universities such as Texas A&M 25,26 and WVU 27,28,29,30,31 as well as the United Stated Air Force (USAF) 32 has ongoing research in this area. The most recent research effort at WVU involves semi-AAR in a real-time system 28 and using feature extraction 29 and corner detection 31 to determine the pose of the tanker with respect to an UAV.…”
Section: Aerospace Related Image Segmentation Applicationsmentioning
confidence: 99%
“…Previous research 27,30 has taken many paths including active marker based vision where the tanker would have light emitting 'markers' placed in an array on the underbelly and tips of its empennage. The idea is that the UAV would then be able to sense the 'markers' and by the use of labeling techniques and feature matching algorithms the markers would be labeled as to their actual location on the tanker.…”
Section: Aerospace Related Image Segmentation Applicationsmentioning
confidence: 99%