Pose measurement of large non-cooperative satellite based on collaborative cameras

Du, Xiaodong; Liang, Bin; Xu, Wenfu; Qiu, Yue

doi:10.1016/j.actaastro.2010.10.021

Cited by 107 publications

(40 citation statements)

References 17 publications

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“…In the top and bottom planes, the three-point circle O O3T and O O3B are constructed by laser dots P 1 P 2 P 3 and P 4 P 5 P 6 , respectively, of which the radiuses are r O3T and r O3B , respectively ( Figure 5). f O3 is the function of solving a threepoint circle center by laser vectors, shown in equation (5). 29 O…”

Section: Pose Of Circular Cylindrical Surfacementioning

confidence: 99%

Pose measurement of nozzle based on laser range finders for capturing satellite

Sun

Liu

et al. 2015

Proceedings of the Institution of Mechanical Engineers, Part G:

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Sensors system is considered as one of the most indispensable devices to the mission of capturing a satellite for on-orbit servicing in the space. In this paper, in order to measure the pose of nozzle, six laser range finders are installed in the capturing nozzle device for entering into and capturing nozzle, and a Geometric Axis Approximation (GAA) method is proposed to estimate the pose of satellite nozzle. Six laser range finders are arranged in the configuration of emission radiated at two planes of top and bottom. The pose measurement system is composed of the six laser range finders, applicable for real-time measurement of the ranges from inner surface of nozzle. Based on the properties of nozzle shape and finders arrangement, the GAA method is used to estimate the pose of nozzle by a connecting line between two centers of circles in the top and bottom planes. In the pose estimation of GAA method, solving the nonlinear transcendental equations can be avoided and a simple explicit model is built. Therefore, the GAA method is suitable for real time measurement. In this paper, the theoretical error of GAA method is analyzed, and in the capturing nozzle experiment system, the experiments of pose measurement are carried out. The results of experiments prove the efficiency of GAA method in pose estimation to nozzle based on laser range finders.

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Section: Pose Of Circular Cylindrical Surfacementioning

confidence: 99%

Pose measurement of nozzle based on laser range finders for capturing satellite

Sun

Liu

et al. 2015

Proceedings of the Institution of Mechanical Engineers, Part G:

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“…An example of the adoption of passive cameras for pose determination of a large uncooperative target is provided by [10]. Moreover, passive sensors can be used also for supervisory applications, like situational awareness and human-in-the-loop operations.…”

Section: Introductionmentioning

confidence: 99%

Uncooperative pose estimation with a LIDAR-based system

et al. 2015

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“…Du. X et al [10] explored the feasibility of binocular vision to measure non-cooperative targets with the support of European Space Agency, and then Segal et al [11] extended the method to discrete multi-objective feature recognition and matching. The Bayer and Kalman filtering algorithms are used to improve the pose estimation accuracy of moving targets.…”

Section: Introductionmentioning

confidence: 99%

Laser Ranging-Assisted Binocular Visual Sensor Tracking System

Wang

Shi

et al. 2020

Sensors

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Aimed at improving the low measurement accuracy of the binocular vision sensor along the optical axis in the process of target tracking, we proposed a method for auxiliary correction using a laser-ranging sensor in this paper. In the process of system measurement, limited to the mechanical performance of the two-dimensional turntable, the measurement value of a laser-ranging sensor is lagged. In this paper, the lag information is updated directly to solve the time delay. Moreover, in order to give full play to the advantages of binocular vision sensors and laser-ranging sensors in target tracking, federated filtering is used to improve the information utilization and measurement accuracy and to solve the estimated correlation. The experimental results show that the real-time and measurement accuracy of the laser ranging-assisted binocular visual-tracking system is improved by the direct update algorithm and the federal filtering algorithm. The results of this paper are significant for binocular vision sensors and laser-ranging sensors in engineering applications involving target tracking systems.

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Pose measurement of large non-cooperative satellite based on collaborative cameras

Cited by 107 publications

References 17 publications

Pose measurement of nozzle based on laser range finders for capturing satellite

Pose measurement of nozzle based on laser range finders for capturing satellite

Uncooperative pose estimation with a LIDAR-based system

Laser Ranging-Assisted Binocular Visual Sensor Tracking System

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