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2021 5th International Conference on Vision, Image and Signal Processing (ICVISP)最新文献

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A Three-coordinate Measuring Method for the Surface Shape and Geometric Parameters of Aspheric Mirrors 非球面反射镜表面形状和几何参数的三坐标测量方法
Pub Date : 2021-12-01 DOI: 10.1109/ICVISP54630.2021.00055
Luo Xiaokui, Sun Haiyang, Zhang Ning, Zhijun Han, Bi Jingjian
As aspheric mirrors are more and more widely used in aerospace remote sensors, the detection technology of aspheric surface shape and geometric parameters has become more and more important. At present, the surface form deviation before the mirror polishing process and the geometric parameters such as the curvature radius of the mirror vertex and the off-axis amount after the mirror processing are completed are mainly performed by using a coordinate measuring machine, according to the theoretical equation or three-dimensional model of the aspheric surface. The mirror surface is automatically measured to obtain the three-coordinate data of the actual point on the mirror surface, and finally obtained through data fitting processing. They are an important basis for determining the subsequent processing parameters and debugging of the optical system. This paper elaborates on the three-coordinate measurement method in terms of measurement principle, measurement plan formulation, measurement procedure, data processing and measurement uncertainty analysis. At present, it is mature and effective, and is widely used in engineering practice.
随着非球面反射镜在航天遥感器中的应用越来越广泛,非球面形状和几何参数的检测技术变得越来越重要。目前,镜面抛光加工前的表面形态偏差以及镜面加工完成后的镜面顶点曲率半径、离轴量等几何参数,主要是利用三坐标测量机,根据非球面的理论方程或三维模型进行测量。对镜面进行自动测量,获得镜面上实际点的三坐标数据,最后通过数据拟合处理得到。它们是确定光学系统后续加工参数和调试的重要依据。本文从测量原理、测量方案的制定、测量程序、数据处理和测量不确定度分析等方面对三坐标测量法进行了阐述。目前该方法成熟有效,在工程实践中得到了广泛应用。
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引用次数: 0
Scenario based Simulation Testing of Autonomous Vehicle using Malaysian Road 基于场景的马来西亚道路自动驾驶汽车仿真测试
Pub Date : 2021-12-01 DOI: 10.1109/ICVISP54630.2021.00015
V. R. Aparow, Cheok Jun Hong, Ng Yuan Weun, Chai Chee Huei, Tiong Kai Yen, Lee Chen Hong, Chia Yu Hang, Teoh Xin Yi, Khoo Kai Wen
Autonomous vehicles are known as one of the promising technologies to decrease the traffic congestions and road accidents. Generally, autonomous vehicles have been tested to adopt automatically while driving on multiple road conditions with different types of traffic situations via simulation analysis. However, most of the autonomous vehicle simulation testing is conducted in the developed countries environment model and mostly on highway driving scenarios with less pedestrian’s movements. Meanwhile in Malaysia, most of the automotive researchers have initiated researches related to autonomous vehicle based on controlled environment only. The researchers explore this research on theoretical based simulation and then directly implemented in actual vehicle for on road testing. This kind of testing not sufficient enough to optimize the performance of autonomous vehicle based on Malaysian environment. To further enhance the capability of autonomous vehicle in Malaysia, a scenario-based simulation testing is required using virtual testing platform in order to adopt with Malaysian road and traffic environment before on-road testing. As for testing, University of Nottingham Malaysia has been selected as the location for testing. Meanwhile, a deep learning method using YOLOv3 is used in this study to classify critical from recorded video data and used the data for scenario generation and testing autonomous vehicle performance.
自动驾驶汽车被认为是减少交通拥堵和道路事故的有前途的技术之一。一般情况下,自动驾驶汽车通过仿真分析,在多种不同类型交通状况的道路条件下进行自动驾驶测试。然而,大多数自动驾驶汽车仿真测试都是在发达国家的环境模型中进行的,而且大多是在行人运动较少的高速公路驾驶场景中进行的。与此同时,在马来西亚,大多数汽车研究人员仅基于受控环境开展自动驾驶汽车的相关研究。研究人员在理论基础上进行仿真研究,然后直接在实际车辆上进行道路试验。这种测试不足以优化基于马来西亚环境的自动驾驶汽车的性能。为了进一步提升马来西亚自动驾驶汽车的能力,在进行道路测试之前,需要使用虚拟测试平台进行基于场景的模拟测试,以适应马来西亚的道路和交通环境。在测试方面,我们选择了马来西亚诺丁汉大学作为测试地点。同时,本研究使用YOLOv3的深度学习方法对录制的视频数据进行关键分类,并将这些数据用于场景生成和自动驾驶汽车性能测试。
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引用次数: 2
Observability and Performance Analysis of Spacecraft Autonomous Navigation Using Stellar Aberration Observation 基于星差观测的航天器自主导航可观测性及性能分析
Pub Date : 2021-12-01 DOI: 10.1109/ICVISP54630.2021.00047
Muzi Li, Sun Jun, Peng Yang, Liu Jingxi
Autonomous navigation is one of the trends of aerospace development. The accuracy improvement of astrometry and celestial navigation sensors is paving a promising path toward navigation using celestial measurement. Under this background, the paper presents an autonomous navigation method basing on stellar aberration effect. In the method, the inter-star angle is used as measurements. With the help of the orbit dynamic model and an extended Kalman filter, spacecraft orbit parameters can be estimated. By constructing the observability matrix and calculating the condition number of the observability matrix, the performance of navigation system is assessed. Finally, the Monte-Carlo simulation results demonstrate the feasibility of the navigation method, and when inter-star angles between three stars are simultaneously chosen as measurements, a precision better than 200m can be achieved.
自主导航是航空航天发展的趋势之一。天体测量和天体导航传感器精度的提高为天体测量导航开辟了一条光明的道路。在此背景下,提出了一种基于星差效应的自主导航方法。该方法采用星间角作为测量参数。利用轨道动力学模型和扩展卡尔曼滤波,可以估计航天器的轨道参数。通过构造可观测性矩阵,计算可观测性矩阵的条件数,对导航系统的性能进行评估。最后,通过蒙特卡罗仿真验证了该导航方法的可行性,当同时选择三颗星之间的星间角作为测量值时,可以获得优于200m的精度。
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引用次数: 0
Complete Graphs and Bipartite Graphs in a Random Graph 随机图中的完全图和二部图
Pub Date : 2021-12-01 DOI: 10.1109/ICVISP54630.2021.00054
Lijin Feng, Jackson Barr
Random graphs, or more precisely the Erdős-Rényi random graph model, is a major tool for modeling complex networks. The most distinctive property of a random graph is inarguably the threshold phenomenon. In this paper, we study the threshold phenomenon for the existence of a complete graph and distribution of complete bipartite graphs in random graphs using Markov’s inequality and indicator functions.We review basic theorems in graph theory and random graphs. A graph is denoted by $G(W,E)$, where the elements of W are the vertices of the graph G and the elements of E are its edges. A random graph is a graph where vertices or edges or both are determined by some random procedure. In the 1980’s, Bollobás showed that every non-trivial monotone increasing property in a random graph has a threshold. Graphs of a size less than this threshold have a low probability to have the property, but graphs with a size larger than this threshold are almost guaranteed to have the property. This is known as a phase transition.For such random graphs denoted by $G(n, p)$, where n is the number of vertices of the graph G and p is the probability of an edge between any two vertices is present, we present a proof of the threshold probability that a random graph contains a complete graph, Kd, which occurs at $p=n^{-frac{2}{d-1}}$. A calculation of the probability distribution for a random graph to contain a complete bipartite graph $K_{r, s}$ as an induced subgraph is also presented which exhibits a global maximum at $p=frac{2 r s}{r(r-1)+s(s-1)+2 r s}$.
随机图,或者更准确地说Erdős-Rényi随机图模型,是建模复杂网络的主要工具。随机图最显著的特性无疑是阈值现象。本文利用马尔可夫不等式和指示函数研究了完全图存在的阈值现象和完全二部图在随机图中的分布。我们复习了图论和随机图的基本定理。图用$G(W,E)$表示,其中W的元素是图G的顶点,E的元素是图G的边。随机图是顶点或边或两者都由一些随机过程确定的图。在20世纪80年代,Bollobás证明了随机图中每一个非平凡单调递增性质都有一个阈值。大小小于这个阈值的图具有该属性的概率很低,但是大小大于这个阈值的图几乎可以保证具有该属性。这就是所谓的相变。对于用$G(n, p)$表示的这样的随机图,其中n是图G的顶点数,p是任意两个顶点之间存在一条边的概率,我们给出了随机图包含完全图Kd的阈值概率的证明,Kd发生在$p=n^{-frac{2}{d-1}}$。本文还计算了包含完全二部图$K_{r, s}$作为诱导子图的随机图的概率分布,该随机图在$p=frac{2r s}{r(r-1)+s(s-1)+ 2r s}$处有全局最大值。
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引用次数: 0
Digital identification of vehicles not only for investigative and forensic purpose 数字识别车辆不仅用于调查和法医目的
Pub Date : 2021-12-01 DOI: 10.1109/ICVISP54630.2021.00013
R. Rak, Miroslav Felcan, D. Kopencova
This paper deals with the issue of digital identification of vehicles not only from the perspective of forensic sciences, but also in a wider context. The introduction explains terms and principles of primary and secondary identification; these are general terms, regarding not only vehicles, but any kind of identification process. In relation to vehicles, particular attention is given to explaining the issue of identification with a VIN (Vehicle Identification Number). The core of the paper is based on research conducted at the Academy of the Police Force in Bratislava, Slovakia, which aimed to find a suitable tool for reading digital identifiers from motor vehicles across various vehicle manufacturers. The subsequent goal was to analyse the obtained information, which is digitally inserted into vehicles as identifiers by various manufacturers, and to find general connections and rules for various models and their commercial markets. The conclusion presents basic conditions for widespread, globalised use and practical use of digital identifiers, especially with regard to modern vehicles.
本文不仅从法医学的角度,而且从更广泛的背景下讨论了车辆的数字识别问题。引言部分解释了一级识别和二级识别的术语和原则;这些都是通用术语,不仅适用于车辆,也适用于任何类型的识别过程。就车辆而言,本课程特别着重解释车辆识别号码的识别问题。该论文的核心是基于斯洛伐克布拉迪斯拉发警察学院进行的研究,该研究旨在找到一种合适的工具,用于读取不同汽车制造商的汽车数字标识符。随后的目标是分析获得的信息,这些信息由不同制造商以数字方式插入车辆作为标识符,并找到各种车型及其商业市场的一般联系和规则。结论提出了广泛、全球化使用和实际使用数字标识符的基本条件,特别是在现代车辆方面。
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引用次数: 1
An Effective Contrast Enhancement Approach for Wide Dynamic Range Image 一种有效的宽动态范围图像对比度增强方法
Pub Date : 2021-12-01 DOI: 10.1109/ICVISP54630.2021.00061
Xiongwei Sun, Xiong Wei, Qinshan Xu, Cheng Zhang
Wide dynamic range image enhancement plays an important role in image processing applications. This study presents a low-complexity automatic method for wide range image contrast enhancement. According to a large number of experimental results that a narrow range image enhancement problem can be described easily by Gaussian curve. In this paper, we divide wide dynamic range image into regular cells and then applying an optimized image remapping method based on contrast gain redistribution function groups. By improving the bilinear fusion method between cells and simplifying the mean and variance of the contrast gain redistribution function, the algorithm complexity is reduced significantly and the whole process is fully automatic. Experiments show that the presented method enhances the visual effect of the wide dynamic range image effectively and fast, making it suitable for real-time applications.
宽动态范围图像增强在图像处理应用中起着重要作用。提出了一种低复杂度的大范围图像对比度自动增强方法。大量的实验结果表明,用高斯曲线可以很容易地描述窄范围图像增强问题。本文首先将宽动态范围图像划分为规则单元,然后应用基于对比度增益重分配函数群的优化图像重映射方法。通过改进单元间双线性融合方法,简化对比度增益再分配函数的均值和方差,大大降低了算法复杂度,实现了整个过程的全自动。实验表明,该方法有效、快速地增强了大动态范围图像的视觉效果,适合于实时应用。
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引用次数: 0
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2021 5th International Conference on Vision, Image and Signal Processing (ICVISP)
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