High-Accuracy Self-Calibration for Smart, Optical Orbiting Payloads Integrated with Attitude and Position Determination

Li, Jin; Xing, Fei; Chu, Daping; Liu, Zilong

doi:10.3390/s16081176

Cited by 23 publications

(16 citation statements)

References 39 publications

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“…The calibration results are discussed in the Supplementary. In the previous studies 25 , 26 , we also calibrate the 2# camera and 3# camera. The calibration results are discussed in the Supplementary.…”

Section: Resultsmentioning

confidence: 99%

An efficient method for measuring the internal parameters of optical cameras based on optical fibres

Tian

2017

Sci Rep

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In this work, we report an expedient auto-collimating method for self-measuring the internal parameters (IPs) of optical cameras. Several key optical components, including the thin optical fibre (TOF), reflecting prism, and receiver, are introduced into optical cameras. The TOF outgoing end and area-array image receiver are integrated onto the focal-plane assembly of optical cameras. Different wavelengths of light, which are emitted by external sources, are transmitted to the focal plane through optical fibres. Because one optical fibre can transmit different wavelengths of light, the same position on the focal plane can obtain point light sources (PLSs) with different wavelengths. Then, the optical system of the cameras spontaneously transforms the PLSs into auto-collimating lights. The auto-collimating lights are reflected by a two-plane prism, return to the camera optical system, reach the focal plane and are received by the area-array sensor. Finally, the IPs are calculated based on a mathematical model of the imaging relation between fibre light sources and images. The experiment confirms that this method is efficient and has a level of precision of dozens of micrometres for an optical camera with a short focal length and small field of view. Our method is suitable for on-orbit IP measurements for cameras without spatial or temporal limitations.

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Section: Resultsmentioning

confidence: 99%

An efficient method for measuring the internal parameters of optical cameras based on optical fibres

Tian

2017

Sci Rep

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“…Along with the rapid development of sensor technology, relative information between pairs of VOTL UAVs can be accurately obtained by active measurements instead of nonactive communications. Suppose that each VTOL UAV is equipped with a sensing unit, ie, camera and laser radar, which is responsible for measuring the relative position with respect to its neighbors.…”

Section: Problem Statementmentioning

confidence: 99%

Distributed hierarchical control for multiple vertical takeoff and landing UAVs with a distance‐based network topology

Zou

Meng

2019

Intl J Robust & Nonlinear

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Summary A distributed formation control algorithm is proposed for multiple vertical takeoff and landing (VTOL) unmanned aerial vehicles (UAVs) in this paper. The neighboring information is obtained by active measurements rather than by nonactive communications as done in the current literatures. By properly expanding the distance‐based network topology structure between each pair of UAVs, a distributed algorithm is proposed such that the switching topology remains connected along the time. Since a VTOL UAV system is typically underactuated, a hierarchical idea is introduced to derive the control design procedure. More specifically, the studied formation control problem of multiple VTOL UAVs is first transformed into the consensus problem of their corresponding error systems. Then, a command force and an applied torque are synthesized for each VTOL UAV such that the error systems reach a consensus. It is demonstrated in terms of Lyapunov theory that the proposed distributed hierarchical control algorithm guarantees the formation realization of multiple VTOL UAVs while maintaining the network connectivity. Finally, simulations are performed to validate the theoretical results.

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“…In the case of on-orbit RSC calibration, existing calibration methods can be classified into four methods: self-calibration bundle adjustment (SCBA) [41,42], ground control point (GCP) [43,44], 180-degree satellite maneuvers (180° SM) [45,46], and point-source focal plane (PSFP) self-calibration [47,48]. The SCBA suffers from long computation times because complex constraint equations are utilised to invert the internal parameters of RSCs.…”

Section: Introductionmentioning

confidence: 99%

Efficient camera self-calibration method for remote sensing photogrammetry

Liu

2018

Opt. Express

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Internal parameter calibration of remote sensing cameras (RSCs) is a necessary step in remote sensing photogrammetry. On-orbit camera calibration widely adopts external ground control points (GCPs) to measure its internal parameters. However, accessible and available GCPs are not easy to achieve when cameras work on a satellite platform. In this paper, we propose an efficient camera self-calibration method using a micro-transceiver in conjunction with deep learning. A supervised learning set is produced by the micro-transceiver, where multiple two-dimensional diffraction grids are produced and transformed into multiple auto-collimating sub-beams equivalent to infinite target-point training examples. A deep learning network is used to invert the learnable internal parameters. The micro-transceiver can be easily integrated into the internal structure of RSCs allowing to calibrate them independently on external ground control targets.

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High-Accuracy Self-Calibration for Smart, Optical Orbiting Payloads Integrated with Attitude and Position Determination

Cited by 23 publications

References 39 publications

An efficient method for measuring the internal parameters of optical cameras based on optical fibres

An efficient method for measuring the internal parameters of optical cameras based on optical fibres

Distributed hierarchical control for multiple vertical takeoff and landing UAVs with a distance‐based network topology

Efficient camera self-calibration method for remote sensing photogrammetry

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