Precision estimation of camera position measurement based on docking marker observation

Гришин, В.А.

doi:10.1134/s1054661810030107

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…In this case, only the contrast boundary operates in the marker image. The calculated precision values are much higher than the similar values in [7] that are based on using a small set of features (points of interest) of the marker. Using the boundaries of marker image for measurement provides an increase of the measurement precision.…”

Section: Resultsmentioning

confidence: 60%

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Accuracy of Measuring Camera Position by Marker Observation

Гришин¹

2010

JSEA

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A lower bound to errors of measuring object position is constructed as a function of parameters of a monocular computer vision system (CVS) as well as of observation conditions and a shape of an observed marker. This bound justifies the specification of the CVS parameters and allows us to formulate constraints for an object trajectory based on required measurement accuracy. For making the measurement, the boundaries of marker image are used

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Section: Resultsmentioning

confidence: 60%

“…In [7], the Cramér-Rao bound is constructed to camera position estimation by docking marker observation. For position estimation, a set of the marker features (points of interest) are used, namely corners, contrast spots and others.…”

Section: Introductionmentioning

confidence: 99%

Accuracy of Measuring Camera Position by Marker Observation

Гришин¹

2010

JSEA

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Bias of Distance Measurement in Rendezvous and Docking

Гришин

2019

Journal of Spacecraft and Rockets

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Accuracy of Relative Navigation Using Time-of-Flight Cameras

Гришин

2023

Journal of Spacecraft and Rockets

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Three-dimensional time-of-flight cameras are being used increasingly widely, and they have found applications in robotics for information support of motion control tasks. They are also considered promising for spacecraft control at short distances from other spacecraft. One such application is relative navigation in the problem of docking with a non-cooperative spacecraft. In this case, the values of the relative coordinates’ measurement errors that the time-of-flight camera can provide are very important. This paper proposes a method for estimating the magnitude of errors in measuring relative coordinates, which depend on the shape of the passive spacecraft, and the distance, observation angle, and parameters of the time-of-flight camera. The lower Cramer–Rao bound is used as an estimate.

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Precision estimation of camera position measurement based on docking marker observation

Cited by 3 publications

References 3 publications

Accuracy of Measuring Camera Position by Marker Observation

Accuracy of Measuring Camera Position by Marker Observation

Bias of Distance Measurement in Rendezvous and Docking

Accuracy of Relative Navigation Using Time-of-Flight Cameras

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