Pub Date : 2021-12-01DOI: 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.
{"title":"A Three-coordinate Measuring Method for the Surface Shape and Geometric Parameters of Aspheric Mirrors","authors":"Luo Xiaokui, Sun Haiyang, Zhang Ning, Zhijun Han, Bi Jingjian","doi":"10.1109/ICVISP54630.2021.00055","DOIUrl":"https://doi.org/10.1109/ICVISP54630.2021.00055","url":null,"abstract":"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.","PeriodicalId":296789,"journal":{"name":"2021 5th International Conference on Vision, Image and Signal Processing (ICVISP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131237373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-01DOI: 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.
{"title":"Scenario based Simulation Testing of Autonomous Vehicle using Malaysian Road","authors":"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","doi":"10.1109/ICVISP54630.2021.00015","DOIUrl":"https://doi.org/10.1109/ICVISP54630.2021.00015","url":null,"abstract":"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.","PeriodicalId":296789,"journal":{"name":"2021 5th International Conference on Vision, Image and Signal Processing (ICVISP)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134618311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-01DOI: 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.
{"title":"Observability and Performance Analysis of Spacecraft Autonomous Navigation Using Stellar Aberration Observation","authors":"Muzi Li, Sun Jun, Peng Yang, Liu Jingxi","doi":"10.1109/ICVISP54630.2021.00047","DOIUrl":"https://doi.org/10.1109/ICVISP54630.2021.00047","url":null,"abstract":"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.","PeriodicalId":296789,"journal":{"name":"2021 5th International Conference on Vision, Image and Signal Processing (ICVISP)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114223831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-01DOI: 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 $p=frac{2 r s}{r(r-1)+s(s-1)+2 r s}$.
{"title":"Complete Graphs and Bipartite Graphs in a Random Graph","authors":"Lijin Feng, Jackson Barr","doi":"10.1109/ICVISP54630.2021.00054","DOIUrl":"https://doi.org/10.1109/ICVISP54630.2021.00054","url":null,"abstract":"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 $p=frac{2 r s}{r(r-1)+s(s-1)+2 r s}$.","PeriodicalId":296789,"journal":{"name":"2021 5th International Conference on Vision, Image and Signal Processing (ICVISP)","volume":"234 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123997920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-01DOI: 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.
{"title":"Digital identification of vehicles not only for investigative and forensic purpose","authors":"R. Rak, Miroslav Felcan, D. Kopencova","doi":"10.1109/ICVISP54630.2021.00013","DOIUrl":"https://doi.org/10.1109/ICVISP54630.2021.00013","url":null,"abstract":"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.","PeriodicalId":296789,"journal":{"name":"2021 5th International Conference on Vision, Image and Signal Processing (ICVISP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126329420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-01DOI: 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.
{"title":"An Effective Contrast Enhancement Approach for Wide Dynamic Range Image","authors":"Xiongwei Sun, Xiong Wei, Qinshan Xu, Cheng Zhang","doi":"10.1109/ICVISP54630.2021.00061","DOIUrl":"https://doi.org/10.1109/ICVISP54630.2021.00061","url":null,"abstract":"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.","PeriodicalId":296789,"journal":{"name":"2021 5th International Conference on Vision, Image and Signal Processing (ICVISP)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126062479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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