Visual pose estimation and identification for satellite rendezvous operations

Mark A. Post, Xiu T. Yan

Research output: Contribution to conferenceOther

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Abstract

Satellites operating in close proximity require precise identification methods and pose estimation systems so that rendezvous and docking is possible. While dedicated RADAR and LIDAR systems have been applied to this problem, a purely visual method using one or more cameras provides a low-power and compact option that does not require dedicated ranging hardware. By means of visual feature detection and tracking across rapid, successive frames, features detected in two-dimensional images are matched and triangulated to provide three-dimensional feature maps using structure-from-motion techniques. Triangulated points are organized by means of orientation histogram descriptors and used to identify and track targets over time. The state variables with respect to the camera system are then filtered over periods of time to determine the relative movement of the spacecraft. This method is tested using laboratory images of nanosatellites with a simulated spacecraft movement model with varying parameters and conditions.
Original languageEnglish
Publication statusPublished - 31 May 2015
EventSixth China-Scotland SIPRA workshop "Recent Advances in Signal and Image Processing" - University of Stirling, Stirling, United Kingdom
Duration: 31 May 201531 May 2015

Conference

ConferenceSixth China-Scotland SIPRA workshop "Recent Advances in Signal and Image Processing"
CountryUnited Kingdom
CityStirling
Period31/05/1531/05/15

Fingerprint

orbital rendezvous
Spacecraft
spacecraft
Cameras
Nanosatellites
Satellites
identification method
histogram
cameras
nanosatellites
hardware
rendezvous
Hardware
histograms
proximity
method

Keywords

  • satellites
  • nanosatellites
  • spacecraft
  • automated rendezvous

Cite this

Post, M. A., & Yan, X. T. (2015). Visual pose estimation and identification for satellite rendezvous operations. Sixth China-Scotland SIPRA workshop "Recent Advances in Signal and Image Processing", Stirling, United Kingdom.
Post, Mark A. ; Yan, Xiu T. / Visual pose estimation and identification for satellite rendezvous operations. Sixth China-Scotland SIPRA workshop "Recent Advances in Signal and Image Processing", Stirling, United Kingdom.
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title = "Visual pose estimation and identification for satellite rendezvous operations",
abstract = "Satellites operating in close proximity require precise identification methods and pose estimation systems so that rendezvous and docking is possible. While dedicated RADAR and LIDAR systems have been applied to this problem, a purely visual method using one or more cameras provides a low-power and compact option that does not require dedicated ranging hardware. By means of visual feature detection and tracking across rapid, successive frames, features detected in two-dimensional images are matched and triangulated to provide three-dimensional feature maps using structure-from-motion techniques. Triangulated points are organized by means of orientation histogram descriptors and used to identify and track targets over time. The state variables with respect to the camera system are then filtered over periods of time to determine the relative movement of the spacecraft. This method is tested using laboratory images of nanosatellites with a simulated spacecraft movement model with varying parameters and conditions.",
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author = "Post, {Mark A.} and Yan, {Xiu T.}",
year = "2015",
month = "5",
day = "31",
language = "English",
note = "Sixth China-Scotland SIPRA workshop {"}Recent Advances in Signal and Image Processing{"} ; Conference date: 31-05-2015 Through 31-05-2015",

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Post, MA & Yan, XT 2015, 'Visual pose estimation and identification for satellite rendezvous operations' Sixth China-Scotland SIPRA workshop "Recent Advances in Signal and Image Processing", Stirling, United Kingdom, 31/05/15 - 31/05/15, .

Visual pose estimation and identification for satellite rendezvous operations. / Post, Mark A.; Yan, Xiu T.

2015. Sixth China-Scotland SIPRA workshop "Recent Advances in Signal and Image Processing", Stirling, United Kingdom.

Research output: Contribution to conferenceOther

TY - CONF

T1 - Visual pose estimation and identification for satellite rendezvous operations

AU - Post, Mark A.

AU - Yan, Xiu T.

PY - 2015/5/31

Y1 - 2015/5/31

N2 - Satellites operating in close proximity require precise identification methods and pose estimation systems so that rendezvous and docking is possible. While dedicated RADAR and LIDAR systems have been applied to this problem, a purely visual method using one or more cameras provides a low-power and compact option that does not require dedicated ranging hardware. By means of visual feature detection and tracking across rapid, successive frames, features detected in two-dimensional images are matched and triangulated to provide three-dimensional feature maps using structure-from-motion techniques. Triangulated points are organized by means of orientation histogram descriptors and used to identify and track targets over time. The state variables with respect to the camera system are then filtered over periods of time to determine the relative movement of the spacecraft. This method is tested using laboratory images of nanosatellites with a simulated spacecraft movement model with varying parameters and conditions.

AB - Satellites operating in close proximity require precise identification methods and pose estimation systems so that rendezvous and docking is possible. While dedicated RADAR and LIDAR systems have been applied to this problem, a purely visual method using one or more cameras provides a low-power and compact option that does not require dedicated ranging hardware. By means of visual feature detection and tracking across rapid, successive frames, features detected in two-dimensional images are matched and triangulated to provide three-dimensional feature maps using structure-from-motion techniques. Triangulated points are organized by means of orientation histogram descriptors and used to identify and track targets over time. The state variables with respect to the camera system are then filtered over periods of time to determine the relative movement of the spacecraft. This method is tested using laboratory images of nanosatellites with a simulated spacecraft movement model with varying parameters and conditions.

KW - satellites

KW - nanosatellites

KW - spacecraft

KW - automated rendezvous

M3 - Other

ER -

Post MA, Yan XT. Visual pose estimation and identification for satellite rendezvous operations. 2015. Sixth China-Scotland SIPRA workshop "Recent Advances in Signal and Image Processing", Stirling, United Kingdom.