Relative Pose and Inertia Determination of Unknown Satellite Using Monocular Vision

Ivanov, Danil; Ovchinnikov, M Y; Sakovich, Marianna

doi:10.1155/2018/9731512

Cited by 13 publications

(3 citation statements)

References 24 publications

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“…At present, countries cannot protect themselves from certain problems, since they will not be able to bypass them anyway. All states, one way or another, are involved in this process [2,3].…”

Section: Introductionmentioning

confidence: 99%

Global processes and their impact on the development of the macro-regional economy

Avramchikova,

Erygin,

Rozhnov

et al. 2023

E3S Web Conf.

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Globalization is a process of worldwide economic, political and cultural integration and unification. The authors determined that the processes of globalization are due to economic feasibility. But, at the same time, since the effects of globalization are distributed, as a rule, unevenly and cause contradictions in the financial sector, the excessive integration and interdependence of countries exacerbate the crisis in social development. It is noted that, due to the evolution of social development, all states must to participate in the processes of globalization, however, one should adhere to a policy to reduce the impact of global problems at the level of an individual country and around the world. It is possible to avoid the negative impact of global processes by systematizing them and analyzing in detail the causes of problems. A study was made of the causes of global problems and their systematization was carried out according to the main features. It is concluded that states face the difficult task of finding new forms of interaction or transforming and improving existing elements of interaction between various international institutions and finding mutually beneficial compromises.

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Section: Introductionmentioning

confidence: 99%

Global processes and their impact on the development of the macro-regional economy

Avramchikova,

Erygin,

Rozhnov

et al. 2023

E3S Web Conf.

View full text Add to dashboard Cite

show abstract

“…A fewer works exist in the literature on pose estimation of unknown space objects. In [15,16], the feature points of the unknown space object are stored during continuous observation, and the pose is determined through the matching of feature points. However, the stable and continuous observation is always hard to provide due to the limitation of observation conditions.…”

Section: Introductionmentioning

confidence: 99%

Pose Estimation of Uncooperative Unknown Space Objects from a Single Image

Ren

Jiang

Wang

2020

International Journal of Aerospace Engineering

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Estimating the 3D pose of the space object from a single image is an important but challenging work. Most of the existing methods estimate the 3D pose of known space objects and assume that the detailed geometry of a specific object is known. These methods are not available for unknown objects without the known geometry of the object. In contrast to previous works, this paper devotes to estimate the 3D pose of the unknown space object from a single image. Our method estimates not only the pose but also the shape of the unknown object from a single image. In this paper, a hierarchical shape model is proposed to represent the prior structure information of typical space objects. On this basis, the parameters of the pose and shape are estimated simultaneously for unknown space objects. Experimental results demonstrate the effectiveness of our method to estimate the 3D pose and infer the geometry of unknown typical space objects from a single image. Moreover, experimental results show the advantage of our approach over the methods relying on the known geometry of the object.

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“…After 50 years of development, PIND can detect loose particles with a mass of more than 0.01 mg, and the accuracy can reach 90%. However, PIND signals caused by the small particles whose mass is smaller than 0.01 mg are very weak and easily submerged in noise background, which makes it impossible to be detected [4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Algorithm Used to Detect Weak Signals Covered by Noise in PIND

Wang

Liang

Xue

et al. 2019

International Journal of Aerospace Engineering

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Detection of the loose particles is urgently required in the spacecraft production processes. PIND (particle impact noise detection) is the most commonly used method for the detection of loose particles in the aerospace electronic components. However, when the mass of loose particles is smaller than 0.01 mg, the weak signals are difficult to be detected accurately. In this paper, the aperiodic stochastic resonance (ASR) is firstly used to detect weak signals of loose particles. The loose particle signal is simulated by the oscillation attenuation signal. The influences of structure parameters on the potential height and detection performance of ASR are studied by a numerical iteration method. The cross-correlation coefficient C 1 between input and output is chosen as a criterion for whether there is an existing a particle or not. Through normalization, the loose particle signal-labeled high frequency of 135 kHz is converted into the low-frequency band, which can be detected by the ASR method. According to the algorithm, weak signals covered by noise could be detected. The experimental results show that the detection accuracy is 66.7%. This algorithm improves the detection range of weak loose particle signals effectively.

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Relative Pose and Inertia Determination of Unknown Satellite Using Monocular Vision

Cited by 13 publications

References 24 publications

Global processes and their impact on the development of the macro-regional economy

Global processes and their impact on the development of the macro-regional economy

Pose Estimation of Uncooperative Unknown Space Objects from a Single Image

Algorithm Used to Detect Weak Signals Covered by Noise in PIND

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