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检索条件"机构=Hunan Provincial Key Laboratory of Image Measurement and Vision Navigation"

共 33 条记录，以下是11-20 订阅

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An Optimal Design Scheme of Missile Trajectory

An Optimal Design Scheme of Missile Trajectory

引用

2022 International Conference on Automation and Space Science and Technology, ASST 2022

作者： Zhang, Shilin College of Aerospace Science and Engineering National University of Defense Technology Hunan Changsha410073 China Hunan Provincial Key Laboratory of Image Measurement and Vision Navigation Hunan Changsha410073 China

The optimization of missile trajectory is an important part of missile design. Its difficulty lies in the complex force of the missile and the different laws of the trajectory parameters in each stage. The existing trajectory simulation models have problems such as complex models, low accuracy, simplifying the initial motion state of the missile, and failing to fully reflect the characteristics of the active and passive motions. In order to solve these problems, this paper extracts important model variables on the basis of analyzing the force of the missile at different stages, and establishes a ballistic model with time-varying parameters. At the same time, according to the engineering design method of the missile flight program, the change rule of the pitch angle of the active phase of the missile with time is drawn up. Finally, an intercontinental ballistic missile is used as the object to simulate and analyze the proposed model. The results show that the method proposed in this paper can design and optimize missile trajectory well. © Published under licence by IOP Publishing Ltd.

关键词： Ballistics

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Improved Harris Corner Detection Algorithm Based on Canny Edge Detection and Gray Difference Preprocessing 3

Improved Harris Corner Detection Algorithm Based on Canny Ed...

引用

2021 3rd International Conference on Electronic Engineering and Informatics, EEI 2021

作者： Luo, Chuan Sun, Xiaoliang Sun, Xiangyi Song, Junyao College of Aerospace Science and Engineering National University of Defense Technology Changsha Hunan410073 China Hunan Provincial Key Laboratory of Image Measurement and Vision Navigation Changsha Hunan410073 China

Harris corner detection algorithm has been widely used in many computer vision allocations. However, it has low efficiency and accuracy, poor noise immunity and needs to set an artificial threshold. In this paper, an improved algorithm based on Canny edge detection and gray difference preprocessing is proposed. Firstly, Canny edge detection and gray difference preprocessing are used for corner prescreening to improve the detection efficiency, anti-noise, and rotation invariance. Secondly, non-maximum suppression is applied to the screened corners to reduce the number of false corners. Finally, the average of adjacent points method is used to solve the problem of corner cluster, and the detection results are compared the measurement accuracy is improved to sub-pixel level. Experimental results indicate that the proposed algorithm can accurately extract the corners in the image and remove the false corners and corner clusters. It achieves superior performance than existing methods. © Published under licence by IOP Publishing Ltd.

关键词： Signal detection

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3D-shape reconstruction based on a sub-pixel-level mapping relationship between the camera and projector

3D-shape reconstruction based on a sub-pixel-level mapping r...

引用

Chinese Society for Optical Engineering Conferences, CSOE 2016

作者： Lin, Huijing Liu, Haibo Yao, Linshen College of Aerospace Science and Engineering National University of Defense Technology Changsha Hunan410073 China Hunan Provincial Key Laboratory of Image Measurement and Vision Navigation Changsha Hunan410073 China

ISBN: (纸本)9781510610118

To some extent, the mapping relationship between the camera and projector images determines the precision of surface reconstruction in digital close-range photogrammetry. In this paper, a new method is presented to achieve sub-pixel-level mapping between the camera and projector images. Instead of mapping the stripe from the camera to the projector, which is pixel-precision-based, a set of pixels that share the same decoded number were picked out on the camera images and their barycenter was calculated to mapped onto the pixel on the projector images. In most cases, the calculation of the barycenter is able to achieve sub-pixel precision. Compared with existing approaches based on the direct mapping of the stripe on the camera image to the projector image, the proposed method is characterized by higher accuracy in mapping the points and thus the surface reconstruction performance. The experimental results are presented to show the effectiveness of the proposed method in the improvement of the accuracy of shape reconstruction. © 2017 SPIE.

关键词： Cameras

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Studies on the influence of speckle density on the accuracy of digital image correlation method based on numerical simulation 3

Studies on the influence of speckle density on the accuracy ...

引用

2021 3rd International Conference on Electronic Engineering and Informatics, EEI 2021

作者： Junyao, Song Zibin, Liu Chuan, Luo Country College of Aerospace Science and Engineering National University of Defense Technology Changsha Hunan410073 China Hunan Provincial Key Laboratory of Image Measurement and Vision Navigation Changsha Hunan410073 China

Digital image correlation method is a high-precision non-contact modern optical mechanics method whose measurement accuracy is directly affected by the quality of the speckle pattern used. In this paper, a numerical simulation experiment is designed to measure and analyze the accuracy of DIC method using speckle patterns which are generated with different speckle densities. The results show that the measurement error of DIC decreases first and then increases with the increase of speckle density, and the error is minimum when the duty ratio is about 60% to 70%. The result show that in practical application the duty ratio of speckle on the specimen surface should be appropriately high, preferably between 60% and 70%. This study is helpful for speckle selection and related research in practical application. © Published under licence by IOP Publishing Ltd.

关键词： Numerical methods

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A New 2-Correspondences Monocular vision navigation Method under Planar Motion 3

A New 2-Correspondences Monocular Vision Navigation Method u...

引用

2021 3rd International Conference on Electronic Engineering and Informatics, EEI 2021

作者： Yu, Yingjian Sun, Xiangyi Guan, Banglei College of Aerospace Science and Engineering National University of Defense Technology Hunan Changsha410073 China Hunan Provincial Key Laboratory of Image Measurement and Vision Navigation National University of Defense Technology Hunan Changsha410073 China

vision navigation has non-contact, high-precision and low-cost characteristics compared with other navigation method. This paper proposes a vision navigation method for planar moving platform in known scene based on two 2D-3D correspondences. Taking account of the arbitrary direction of camera and the relative pose between the camera and the platform, we propose a linear solver with unique solution, whose minimal number of requirement correspondences is 2 and can cope with arbitrary number of correspondences bigger than 2 directly. Our method is evaluated on both synthetic data and real-world data. The experimental results demonstrate that our method is high-accuracy and fast for vision navigation of planar moving platform. © Published under licence by IOP Publishing Ltd.

关键词： Cameras

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Rotational alignment of imu-camera systems with 1-point ransac 2nd

Rotational alignment of imu-camera systems with 1-point rans...

引用

2nd Chinese Conference on Pattern Recognition and Computer vision, PRCV 2019

作者： Guan, Banglei Su, Ang Li, Zhang Fraundorfer, Friedrich College of Aerospace Science and Engineering National University of Defense Technology Changsha China Hunan Provincial Key Laboratory of Image Measurement and Vision Navigation Changsha China Institute for Computer Graphics and Vision Graz University of Technology Graz Austria

ISBN: (纸本)9783030317256

In this paper we present a minimal solution for the rotational alignment of IMU-camera systems based on a homography formulation. The image correspondences between two views are related by homography when the motion of the camera can be effectively approximated as a pure rotation. By exploiting the rotational angles of the features obtained by e.g. the SIFT detector, we compute the rotational alignment of IMU-camera systems with only 1 feature correspondence. The novel minimal case solution allows us to cope with feature mismatches efficiently and robustly within a random sample consensus RANSAC scheme. Our method is evaluated on both synthetic and real scene data, demonstrating that our method is suited for the rotational alignment of IMU-camera systems. © Springer Nature Switzerland AG 2019.

关键词： Cameras

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Planar homography based monocular SLAM initialization method 2019

Planar homography based monocular SLAM initialization method

引用

2nd International Conference on Service Robotics Technologies, ICSRT 2019

作者： Sun, Fang Sun, Xiangyi Guan, Banglei Li, Tao Sun, Cong Liu, Yingchao College of Aerospace Science and Engineering National University of Defense Technology Changsha410073 China Hunan Provincial Key Laboratory of Image Measurement and Vision Navigation Changsha410073 China Bank of China Beijing100818 China

ISBN: (纸本)9781450362467

Simultaneous Localization and Mapping (SLAM) is a popular topic in autonomous robots navigation. It has been studied for decades in both computer vision and robotics communities. Monocular systems is more cost effective compared to RGBD or Stereo systems;however, it is relatively complicated to initialize due to scale uncertainty. Under certain conditions, it is assumed that the camera only moves in a planar scene, which provides us with homography constraints. In this paper, the efficiency of monocular initialization was improved based on the open source platform ORB-SLAM2, employing the algorithm based on planar homography constraints. We compared the improved algorithm with the source code of ORB-SLAM2 on the public datasets. It showed that our algorithm has better stability and robustness in the planar scene dataset and more initializing map points. © 2019 Association for Computing Machinery.

关键词： Cost effectiveness

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Accurate Monocular Pose measurement for Aircraft Transportation Monitoring

Accurate Monocular Pose Measurement for Aircraft Transportat...

引用

2024 IEEE International Conference on Unmanned Systems, ICUS 2024

作者： Sun, Xiaoliang Zhang, Zhuo Bi, Daoming Guo, Liangchao Wang, Qiufu Chen, Lin College of Aerospace Science and Engineering National University of Defense Technology Changsha China Hunan Provincial Key Laboratory of Image Measurement and Vision Navigation Changsha China AVIC Shenyang Aircraft Design & Research Institute Shenyang China

ISBN: (纸本)9798350384185

Comprehensive statue monitoring is of great significance for aircraft safety and efficient transportation. This paper proposes an accurate and efficient monocular pose measurement method for aircraft transportation monitoring. The proposed method firstly models the aircraft using a sparse keypoint set for simplicity. Then, based on the simple representation, a trained neural network model is adapted to detect the keypoints from the input monocular image to build 2D-3D correspondences for pose measurement. Coarse pose estimation is got by solving a Perspective-n-Point problem based on the 2D-3D correspondences. For accurate pose measurement, this paper uses the contour feature to refine the pose measurement. The refinement is achieved via gradient orientation based template matching. Experimental results indicate that the proposed method achieves accurate and efficient monocular pose measurement for aircraft transportation monitoring. © 2024 IEEE.

关键词： Template matching

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Airborne vision-aided landing navigation system for fixed-wing UAV

Airborne vision-aided landing navigation system for fixed-wi...

引用

International Conference on Signal Processing Proceedings (ICSP)

作者： Pengyu Guo Xin Li Yang Gui Xiang Zhou Hongliang Zhang Xiaohu Zhang Hunan Provincial Key Laboratory of Image Measurement and Vision Navigation National University of Defense Technology Changsha China

ISBN: (纸本)9781479921898

In order to achieve accurate automatic recovery of fixed-wing UAV at the known landing site, an airborne aided landing navigation system based on machine vision is designed and realized, and the key algorithms of the system are investigated. First, according to the need of automatic landing, such as high precision, real-time and strong anti-interference ability, a scheme of vision-aided landing navigation system is proposed based on guidance illuminant with fixed waveband. Then, aiming at the characteristics of the system, the primary algorithms are designed and realized including camera system calibration with optical filter, fast and accurate blob location, and pose estimation for quasisingular case. Finally, the system is established in DSP, and verified by the experiment. Feasibility experimental results indicate the tendency of the location data between GPS and the system is consistent. Precision experimental results show the extraction precision of blob centroid in the image coordinates is better than 0.1 subpixel, and the localization precisions of UAV along the runway, vertical to the runway and the height orientation are 0.234m, 0.025m and 0.009m when UAV is at about 100m away from the ideal landing point. Efficiency experimental results illustrate the processing frequency is 100Hz~15Hz. It can satisfy the requirements of automatic landing which are real-time, high precision as well as strong anti-interference ability.

关键词： navigation Cameras Calibration Accuracy Optical filters Machine vision Digital signal processing

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LS-SVM for a point target motion measurement

LS-SVM for a point target motion measurement

引用

International Conference on Signal Processing Proceedings (ICSP)

作者： Xin Li Pengyu Guo Hongliang Zhang Xiaohu Zhang Hunan Provincial Key Laboratory of Image Measurement and Vision Navigation National University of Defense Technology Changsha China

ISBN: (纸本)9781479921898

In order to determine the 3D motion of a point target from a monocular moving camera, a locating method is proposed by taking advantage of the property that the positions of the target in a short time are relative to each other and the kernel trick of least squares support vector machine (LS-SVM). This method has better noise immunity due to its robust estimation property, and has high accuracy as the kernel function added to the trajectory reconstruction, and has high efficiency because of the incremental and decremental technique. To illustrate the performance of the method employed in the paper, contrastive simulation experiment on location error and execution time is designed. The results show the accuracy and efficiency of the method. This method is applicable for high precision measurement of motion targets by passive observations on various mobile platforms.

关键词： Trajectory Cameras Support vector machines Computational modeling Mathematical model Polynomials Motion measurement

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