Modeling and simulation for optical sensor imaging in space rendezvous and docking

Cong, Mingyu; Bao, Wenzhuo; Yu, Hao; Zhang, Wei; Cao, Yiming

doi:10.1109/cisp.2010.5646838

Cited by 5 publications

(3 citation statements)

References 7 publications

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“…It is difficult to construct a precise model that accounts for background noise because a variety of sources contribute to this noise. In practice, background noise is usually simulated using the Monte Carlo method [31,32]. The same method was adopted in this paper.…”

Section: Simulation Of Target Recognition and Discussionmentioning

confidence: 99%

Autonomous space target recognition and tracking approach using star sensors based on a Kalman filter

Tao

Zhou

2015

Appl. Opt.

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When imaged by detectors, space targets (including satellites and debris) and background stars have similar point-spread functions, and both objects appear to change as detectors track targets. Therefore, traditional tracking methods cannot separate targets from stars and cannot directly recognize targets in 2D images. Consequently, we propose an autonomous space target recognition and tracking approach using a star sensor technique and a Kalman filter (KF). A two-step method for subpixel-scale detection of star objects (including stars and targets) is developed, and the combination of the star sensor technique and a KF is used to track targets. The experimental results show that the proposed method is adequate for autonomously recognizing and tracking space targets.

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Section: Simulation Of Target Recognition and Discussionmentioning

confidence: 99%

Autonomous space target recognition and tracking approach using star sensors based on a Kalman filter

Tao

Zhou

2015

Appl. Opt.

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“…Many activities, such as the manufacture of launchers, satellites, spacecrafts and space station [3], the performance detection and amelioration of aerospace craft, the rendezvous and docking of spacecrafts [4], the maintenance of on-orbit equipments, have been involved in space simulation.…”

Section: Introductionmentioning

confidence: 99%

Research on the Universal Platform for Aerospace Craft Simulation

Liu

Wei

et al. 2012

2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing

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A universal platform for aerospace craft simulation was proposed in order to satisfy the various requirements in space tasks simulation. The platform is composed of a series of modular and standardized simulators, in which the kinematic, optic, radar or other characters of crafts can be simulated. The command & control functions and task programming processes can also be simulated in either accurate mode or rough mode. The platform can simulate simple tasks using only one simulator or complex contributed tasks using multisimulators. As a whole, the proposed platform can be used as a flexible infrastructure to simulate various space tasks.

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“…Space rendezvous and docking visual measurement [5,6]is that two spacecrafts utilize optical sensor to acquire the relative position and attitude information.Usually,optical sensor is installed in the tracking spacecraft and feature light points is installed on the target spacecraft.During pose measurement process, the accuracy of feature points extracting, positioning and tracking algorithm [7,8] are critical to pose estimation. And the accuracy of pose estimation is directly related to the success of the rendezvous and docking.…”

Section: Introductionmentioning

confidence: 99%

Pose Estimation of Cooperative Targets for Space Exploration Task Based on Binocular Visual Measurement

Wang

Jian²,

Shi

2013

AMM

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In this paper, a high accuracy and efficiency pose estimation algorithm is proposed for space cooperative targets in RVD based on binocular visual measurement. At first, the scheme of visual measurement toward RVD is presented and the environment conditions and performance requirement are analysed and discussed. Then the relationship of pose estimation with detection and tracking is studied to give an implementing strategy of pose estimation with high accuracy and efficiency. Moreover, the key point is focused on the pose estimation of cooperative targets, in which a stereo vision mapping relation between three dimensionl coordinates of spacial feature points of cooperative targets and their corresponding image coordinates is established, then the least square method is employed to estimate the three-dimensional coordinates of feature points so as to calculate the relative position and attitude between tracking spacecraft and target spacecraft with high precision, finally a series of experimental resluts indicate that the proposed pose estimation algorithm under binocular visual measurement demonstrates well performance in the estimation accuracy, anti-noise and real-time thus can achieve the application requriements of RVD under binocular visual measurement.

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Modeling and simulation for optical sensor imaging in space rendezvous and docking

Cited by 5 publications

References 7 publications

Autonomous space target recognition and tracking approach using star sensors based on a Kalman filter

Autonomous space target recognition and tracking approach using star sensors based on a Kalman filter

Research on the Universal Platform for Aerospace Craft Simulation

Pose Estimation of Cooperative Targets for Space Exploration Task Based on Binocular Visual Measurement

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