Optical Measurement Methods for Attitude Determination of Unmanned Aerial Systems

Pačes, Pavel; Yu, Wen-Kai; Klesa, Jan

doi:10.1109/dasc.2018.8569298

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…Under the CS framework, the sampling ratio required by this method can approach the bounds limited by phase transition. This technique may open a door to practical compressive video applications [27,28] with fewer measurements.…”

Section: Introductionmentioning

confidence: 99%

Single-Pixel Imaging with Origami Pattern Construction

Liu

2019

Sensors

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Single-pixel compressive imaging can recover images from fewer measurements, offering many benefits especially for the imaging modalities where array detection is unavailable. However, the widely used random projections fail to explore internal relations between coding patterns and image reconstruction. Here, we propose a single-pixel imaging method based on a deterministic origami pattern construction that can lead to a more accurate pattern ordering sequence and better imaging quality. It can decrease the sampling ratio, closer to the upper bounds. The experimental realization of this approach is a big step forward towards practical applications.

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Section: Introductionmentioning

confidence: 99%

Single-Pixel Imaging with Origami Pattern Construction

Liu

2019

Sensors

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“…Actually, all these SPI techniques exchange the acquisition time and the computational complexity for spatial pixel resolution [27]. This problem has been the main bottleneck for SPI being used in practical real-time applications [28,29], especially for 3D imaging of relative moving targets (e.g., imaging 3D objects on a conveyor belt, or earth observation and navigation on unmanned aerial systems [30]). The cause of this problem is due to the fact that SPI is based on a typical staring imaging mechanism and there exists a lot of spatial redundancy in motion detection.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional imaging with single-frame jigsaw-puzzle-reorganized sinusoidal fringe using multi-pixel axial flat brush scanning

2019

Preprint

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Structured-light three-dimensional (3D) imaging can achieve 3D shape of a stationary object via one or more pixelated array cameras with phase-shifting illumination. In order to extend 3D imaging to moving scenarios, we propose a 3D imaging method with double projection of a single-frame modulated light pattern and a sampling pattern. It can continuously image the moving 3D scene by making multi-pixel detector axial flat brush scan along the motion axis. Utilizing spatial multiplexing for multiple single-pixel imaging, each single-pixel does not need to keep staring at some part of the object, avoiding motion blur problem. The performance of our method has been demonstrated by numerical simulations. Given this, we believe that the technique paves the way to practical applications including product line 3D monitoring.

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