Optical Image Generation and High-precision Line-of-Sight Extraction for Mars Approach Navigation

Jiang, Xiuqiang; Li, Shuang; Gu, Long; Sun, Jun; Xiao, Dongdong

doi:10.1017/s0373463318000450

Cited by 6 publications

(9 citation statements)

References 19 publications

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“…The experimental results show that this method is effective and accurate. 9 In order to solve the problem that the existing band selection methods for sub-pixel target detection need to compare the background spectral reflectance features with the target features, Han et al proposed a method to select bands using only the target spectral reflectance features. The method is valid and reliable.…”

Section: Related Workmentioning

confidence: 99%

“…The experimental results show that the algorithm is effective and reliable. 14 Wang et al proposed a robust sub-pixel extraction method for the center of light stripe to solve the problem that uneven reflective metal surface will affect the measurement of structured light 3D topography. The results show that this method can obtain relatively high precision information about the center of mass of Mars.…”

Section: Related Workmentioning

confidence: 99%

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Application of subpixel edge detection in quality control of double‐column metal parts

Xie

Chen

2023

Adv Control Appl

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At present, most of the parts of mechanical equipment are made of metal, so the accurate detection and extraction of important characteristic parameters of metal parts is the key to determine the quality of mechanical equipment. In order to accurately extract and measure the feature size of metal parts, this research first carried out image preprocessing. Threshold segmentation is performed, and the target traits are extracted from the image to obtain the ROI. Finally, the preprocessed image is extracted from the image by the sub‐pixel edge extraction technology to extract the feature size of the circle to be measured. The difference between the measured value of the characteristic dimension of the spring bearing seat and the gasket and the real value measured by the research method is within the range of 5 and 4 μm, respectively, and both of them meet the requirements of the characteristic dimension accuracy. When the feature size of the two is repeatedly measured, the variation range of the detection results of the spring bearing seat and the gasket is within 9 and 7 μm respectively, and the detection value is much smaller than the feature size tolerance. The detection accuracy of the method can reach 95.394%. The score was 96.029 and the AUC value was 0.93, both higher than other methods. The results show that the use of sub‐pixels on metal parts The edge extraction method is extremely accurate. The research method can effectively improve the detection accuracy of the feature size of metal parts, which is of great significance to the development of the entire metal parts processing industry.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Application of subpixel edge detection in quality control of double‐column metal parts

Xie

Chen

2023

Adv Control Appl

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“…王密等人 [17] 针对火星探测巡航段和接近段, 分别就光学自主导航进行了讨论. Jiang等人 [18] 针对火星接近段光学自主导航首次提出了相机的图像生成与处理方法, 能够得到火心的高精度信息. 李建军和王大轶 [6] 表 3 地面测量参数…”

Section: 另外基于探测器间无线电测量和惯性导航的方法是unclassified

Integrated navigation for the approach phase of Mars probe

Li¹,

Yan²,

Jiang³

et al. 2020

Sci. Sin.-Tech.

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“…Some of them modelled a few artifacts like sun shadows – e.g., FlightGear Flight Simulator (1997), AirSim (Shah et al., 2018) or that proposed by Jiang et al. (2019) – but still used ideal cameras. Only a few modelled fixed-zoom lens distortion (Koenig and Howard, 2004; Hempe and Rosmann, 2015; Yu et al., 2017).…”

Section: Introductionmentioning

confidence: 99%

A virtual environment for evaluation of computer vision algorithms under general airborne camera imperfections

2021

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This paper describes a camera simulation framework for validating machine vision algorithms under general airborne camera imperfections. Lens distortion, image delay, rolling shutter, motion blur, interlacing, vignetting, image noise, and light level are modelled. This is the first simulation that considers all temporal distortions jointly, along with static lens distortions in an online manner. Several innovations are proposed including a motion tracking system allowing the camera to follow the flight log with eligible derivatives. A reverse pipeline, relating each pixel in the output image to pixels in the ideal input image, is developed. It is shown that the inverse lens distortion model and the inverse temporal distortion models are decoupled in this way. A short-time pixel displacement model is proposed to solve for temporal distortions (i.e. delay, rolling shutter, motion blur, and interlacing). Evaluation is done by several means including regenerating an airborne dataset, regenerating the camera path on a calibration pattern, and evaluating the ability of the time displacement model to predict other frames. Qualitative evaluations are also made.

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Optical Image Generation and High-precision Line-of-Sight Extraction for Mars Approach Navigation

Cited by 6 publications

References 19 publications

Application of subpixel edge detection in quality control of double‐column metal parts

Application of subpixel edge detection in quality control of double‐column metal parts

Integrated navigation for the approach phase of Mars probe

A virtual environment for evaluation of computer vision algorithms under general airborne camera imperfections

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