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检索条件"主题词=Centroid algorithm"

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Research on 3D Reconstruction by Multi-Directional Range Gated Laser Imaging 4

Research on 3D Reconstruction by Multi-Directional Range Gat...

引用

4th International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC)

作者： Li, Sining Li, Chao Lu, Wei Zhang, Dayong Tu, Zhipeng Harbin Inst Technol Inst Optoelect Harbin 150006 Peoples R China

ISBN: (纸本)9781479965755

The objective of the research is to prove the 3D reconstruction capability of the range-gated laser imaging technique. To investigate this, we have designed and developed a whole set of system for high precision three-dimensional imaging. The system uses a Nd:YAG electro-optical Q-switched 532nm laser as transmitter, an image intensify tube with double micro channel plate as gated sensor, and all the components are controlled by a trigger control unit with accuracy of subnanosecond. For imaging various aspects of the target object, a multi-directional imaging scheme is designed;experiments are performed to obtain the sequences of images. A set of algorithms is also developed and used to reconstruct the 3D image basing on centroid algorithm. Experimental results imply that the multidirectional imaging method is efficient and feasible.

关键词： range gated lidar centroid algorithm multi-directional imaging

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A new localization algorithm in complex environment for wireless sensor networks

A new localization algorithm in complex environment for wire...

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IEEE International Conference on Automation and Logistics

作者： Xi-mei Liu Zhang chao Hu Jizhen E China Univ Sci & Technol Sch Informat Sci & Engn Shanghai 200240 Peoples R China Qingdao Univ Sci & Technol Qingdao 266042 Peoples R China

ISBN: (纸本)9781424425020

Localization is one of the supporting technologies in wireless sensor networks. Many techniques have been proposed that attempt to localize in a distributed manner. But the border problem (nodes near the edge of the sensor field are poorly positioned) is not solved perfectly. In this paper we propose a novel localization algorithm with the following merits. First, we use classification method to classify the nodes into two categories-border nodes and non-border nodes. Then we localize the border nodes based on mere connectivity information (i.e., hop counts only), and deal with the non-border nodes based on improved weighted centroid algorithm. The simulation results show that the border problem is solved well and the average localization error will be reduced to about a quarter and 10% in the complex environment with fewer anchor nodes compared to the centriod algorithm and diffusion algorithm.

关键词： wireless sensor networks position estimation centroid algorithm RSSI classification

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Experimental Research on 3D Reconstruction through Range Gated Laser Imaging 7

Experimental Research on 3D Reconstruction through Range Gat...

引用

7th International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT) - Large Mirrors and Telescopes

作者： Li, Sining Lu, Wei Zhang, Dayong Li, Chao Tu, Zhipeng Harbin Inst Technol Inst Optoelect Harbin 15006 Heilongjiang Peoples R China

ISBN: (纸本)9781628413557

A range gated laser imaging system has been designed and developed for high precision three-dimensional imaging. The system uses a Nd: YAG electro-optical Q-switched 532nm laser as transmitter, a double microchannel plate as gated sensor, and all the components are controlled by a trigger control unit with accuracy of subnanosecond. An experimental scheme is also designed to achieve high precision imaging;a sequence of 2D "slice" images are acquired in the experiment, and these images provide the basic data for 3D reconstruction. Basing on the centroid algorithm, we have developed the 3D reconstruction algorithm, and use it to reconstruct a 3D image of target from the experimental data. We compare the 3D image with the system performance model, and the results are corresponding.

关键词： range gated laser imaging 3D reconstruction centroid algorithm

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Underwater Acoustic Sensor Network Nodes Targeting And Optimization Strategies

引用

International Conference on Mechatronics and Materials Processing (ICMMP 2011)

作者： Zhang, Hua Liu, Yu Liang Zhejiang Ocean Univ Sch Elect Engn Zhoushan 316000 Zhejiang Peoples R China

ISBN: (纸本)9783037852385

Wireless sensor networks more complex in the marine environment than in terrestrial environments, the independent positioning mechanism can reduce the difficulty of modeling. The study on underwater acoustic sensor network node distribution of two-dimensional and three-dimensional respectively and the establishment relation function of the distance of beacon nodes and unknown nodes which based on in the traditional centroid algorithm idea. Using Taylor series can reduce the complexity computing of nodes who sensitive to energy because of its linear approximation in a manner. Because the genetic algorithm fitness function only interested in building the corresponding function, optimizing the established function. Simulation results show that: it can achieve the nodes self-localization effectively both in two- dimension and three-dimension that the distance formulas between nodes are liberalized by Taylor series and optimized by genetic algorithms.

关键词： Underwater acoustic sensor networks Taylor series centroid algorithm Three-dimensional Node self-localization

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Research of the Wavefront Detection Method based on the Scanning Pentaprism 2

Research of the Wavefront Detection Method based on the Scan...

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2nd International Conference on Photonics and Optical Engineering (icPOE)

作者： Zhu Xuelianga Zhao Huiying Dong Longchao Tian Ailing Yuan Daocheng Ban Xinxing Liu Bingcai Tian Yanan Xi An Jiao Tong Univ State Key Lab Mfg Syst Engn 28 Xianning West Rd Xian 710049 Shaanxi Peoples R China Fourth Mil Med Univ Shaanxi Prov Key Lab Thin Films Technol & Opt Tes 4 Jinhua North Rd Xian 710032 Shaanxi Peoples R China

ISBN: (纸本)9781510610132;9781510610149

With the rapid developing of science and technology, large aperture optical system plays an important role in the high-tech fields including space optics, astronomical optics, inertial confinement fusion, the detecting and recognizing of space target. However, the problems of the wavefront sensing about large aperture optical system has been totally solved because of the equipment expenses and long manufacturing periods. In order to test the large aperture elements in optical system with cheaper costs and higher resolution, more and more attentions are paid into the wavefront sensing of large aperture optical systems. The scanning pentaprism system is introduced to divide the wavefront of the interferometer into a series of sub-wavefront, and the relative positions of the spot centroid accroding to every sub-wavefront are recorded on the CCD camera. The normal directions of every sub-wavefront are obtained to reconstruct the tested wavefront. Experimental results are accord with the interferometer measure results. The feasibility of the pentaprism scanning method has been validated. Finally the influences of measurement apparatus and environment on the measuring precision is discussed. Which is useful to expand the measuring range to keep high spatial resolution and reduce cost.

关键词： Optical testing Collimated wavefront Pentaprism scanning centroid algorithm

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Research of Binocular Positioning Mathematical Model Based on the Least Square Method

Research of Binocular Positioning Mathematical Model Based o...

引用

International Conference on Intelligent Structure and Vibration Control (ISVC 2011)

作者： Liu Chunfeng Meng Xiaoli Zhang Huancheng Hebei United Univ Coll Sci Tangshan 063009 Hebei Peoples R China

ISBN: (纸本)9783037850206

By giving a centroid algorithm to extract pixel coordinates of each circle in the center of a circle under the coordinates, through the coordinate transformation the image coordinates can be obtained. Based on the data obtained from above to verify the model, from the specific data of the relative error, absolute error and error propagation theory to discuss the algorithm accuracy and stability. Finally using the least square method, according to the mean square error criteria for the establishment of a minimum of three-dimensional coordinate system fixed relative position of two cameras, binocular positioning mathematical models and by discussing the nature of matrix and the relationship between the relative position of the camera to calibrate the binocular digital camera.

关键词： Transition matrix centroid algorithm Least-squares Method Binocular Calibration

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A new algorithm of automatic target-position acquisition for long-range surveillance radar

A new algorithm of automatic target-position acquisition for...

引用

CIE International Conference on Radar

作者： Cai, CX Wang, ZB Wang, XT Peng, YN Tsing Hua Univ Dept Elect Engn Beijing 100084 Peoples R China

ISBN: (纸本)0780370007

As an important component of a modem radar system, Automatic Target-Position Acquisition (ATPA) sub-system is responsible for estimating radar targets' center positions. Among all the ATPA algorithms, old-fashioned Binary-Processing (BP) algorithm is in an almost-obsolete state. Today the most widely used algorithm is Area-Center (AC) algorithm. But centroid algorithm has gained more and more attention because it has better precision and requires simpler data structures. However, all the above algorithms are unable to completely solve the problem of signal expansion in range dimension, which is caused by pulse-compression technique. For long-range surveillance radar systems, if this problem remains unresolved, it is impossible to achieve high resolution of azimuth and range. Thus in this paper, we propose a 2-Dimensional centroid algorithm based on the original centroid algorithm, which is only 1-Dimensional. In addition, we also designed a simplified Peak-Searching (P S) algorithm according to the characteristics of long-range surveillance radar. Analysis and simulation shows that this algorithm has relatively high estimation precision, and its implementation scheme is very easy. It has already been successfully used in some kind of long-range surveillance radar system.

关键词： automatic target position acquisition azimuth center range center centroid algorithm peak-searching algorithm

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Feed Forward Neural Network-Based Sensor Node Localization in Internet of Things

Feed Forward Neural Network-Based Sensor Node Localization i...

引用

International Conference on Computing, Analytics and Networking (ICCAN)

作者： Kumar, Ajay Jain, V. K. Mody Univ Sci & Technol Dept CSE Coll Engn & Technol Lakshmangarh India

ISBN: (纸本)9789811078712;9789811078705

Internet of Things and wireless sensor networks have attracted worldwide researchers because of their various applications in different fields. Specifically, in IoT, knowledge of location is a very critical issue which deals with identifying the position of deployed node in the sensor network. It is extremely advantageous to propose scalable, cost efficient, and proficient localization procedure for IoT. This paper provides a sensor positioning algorithm named centroid algorithm which is a range-free position identifying scheme. The centroid of the polygon is used to compute the coordinates of estimate position to get better node location precision and further neural networks such as feed forward have been implemented to improve the accuracy. A comparison of centroid algorithm and feed forward neural network-based localization has been done and found that the neural network promises better results for higher localization accuracy.

关键词： centroid algorithm Global positioning system Neural networks Internet of Things Wireless sensor networks

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Experimental Research on Range Gating Laser Imaging Radar

Experimental Research on Range Gating Laser Imaging Radar

引用

Annual Conference of the Chinese-Society-for-Optical-Engineering on Applied Optics and Photonics, China (AOPC)

作者： Zhang, Dayong Li, Sining Lu, Wei Tu, Zhipeng Zhang, Junwei Xu, Xianmei Wang, Wei Yan, Xu Harbin Inst Technol Sch Inst Optoelect Harbin 15001 Heilongjiang Peoples R China

ISBN: (纸本)9781628418996

We have developed two range gating laser imaging systems, which base on modulated gain method and centroid algorithm respectively. The system based on centroid algorithm uses a pulse laser as transmitter and CCD with image intensifier, through delaying gated receiver repetitiously to acquire a series of 2D time-slicing image to restore the three-dimensional rang image. The imaging system based on modulated gain mainly adopts the same pulse laser is used and CCD with image intensifier with constant and modulated gain over time, which can capture two different intensity images of echo pulse respectively in order to restore the three-dimensional range image. We conduct a series of experiments with the tow system, and the results are consistent with the actual practical ones. By comparing result of laser imaging based on the two systems, we summarize the different strength and weaknesses, requirements, and challenges to lay a solid foundation for later experiments.

关键词： time-slicing technique centroid algorithm modulated gain mtethod range gating laser radar

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Study on the Symmetrical Laser Displacement Sensor for the Road Surface Measurement

Study on the Symmetrical Laser Displacement Sensor for the R...

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Conference on Infrared, Millimeter Wave, and Terahertz Technologies

作者： Song Hongxun Ma Ronggui Zhang Yi Ding Hui Zhang Ning Changan Univ Xian 710064 Peoples R China Res Dept Edu & Teaching Taizhou Taizhou 317000 Peoples R China China Aviat Ind NO613 Res Inst Luoyang 471009 Peoples R China

ISBN: (纸本)9780819483843

The asymmetry imaging spot caused by the CCD saturation and the scattering of uneven road surface usually leads to lower accuracy in the road surface detection. A new method of the symmetric displacement sensor for the road measurement is given. The sensor consists of two symmetrical image systems and two line scan CCDs which are arranged reversely. The centroidal algorithm is adept to calculate the coordinates of the image point of each CCD. The finial displacement is given by the average of the coordinates of the image point of two CCDs. The experimental results indicate that the symmetrical laser displacement sensor can reduce the asymmetry imaging test error and improve the precision of measurement effectively. It is very suitable for the pavement evenness, rut and texture detection.

关键词： Laser displacement sensor CCD Symmetrical arrangement centroid algorithm

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