2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04.最新文献_第2页

A digital detector of the frequency of power system with noisy signals 电力系统含噪声信号频率的数字式检测器

2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04. Pub Date : 2004-12-08 DOI: 10.1109/ICIT.2004.1490736

J. Wu

引用次数: 0

Robust registration of virtual objects for industrial applications 工业应用中虚拟对象的稳健注册

2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04. Pub Date : 2004-12-08 DOI: 10.1109/ICIT.2004.1490220

B. Fergani, M. Batouche, B. Boufama

{"title":"Robust registration of virtual objects for industrial applications","authors":"B. Fergani, M. Batouche, B. Boufama","doi":"10.1109/ICIT.2004.1490220","DOIUrl":"https://doi.org/10.1109/ICIT.2004.1490220","url":null,"abstract":"Vision-based registration techniques for augmented reality systems have been the subject of intensive research recently due to their potential to accurately align virtual objects with the real world. The registration process can be done in three steps: 1) Positioning: put the virtual object at a desired position. 2) Rendering: get the 2D image of the positioned 3D virtual object 3) The rendering of the virtual object will then be merged with the image of real environment to compose an augmented image. Rendering the virtual object is not trivial work, since it not only depends on its 3D location and orientation, but also depends on the camera's location and orientation. When the camera undergoes a transformation, the parameters for rendering will also be accordingly changed. Therefore, for a realtime augmented reality system, the camera pose must be dynamically tracked at frame rate. In order to simulate the real camera, we have to know its intrinsic and extrinsic parameters. The intrinsic parameters describe camera's optical, geometric and digital characteristics. The extrinsic parameters describe position and orientation of the camera. Both intrinsic and extrinsic parameters can be estimated through a camera calibration process (for example Zonglei and Boufama's method). However, calibrating the camera in real-time, for applications similar to industry, is not necessary (for example Kutulakos & vallino's method). In this paper we present our framework based on Zonglei & Boufama's approach and we describe Kutulakos & vallino's approach (we haven't yet results).","PeriodicalId":136064,"journal":{"name":"2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129029479","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}

引用次数: 0

Impact of spectral shaping location on the performance of communication transceivers 频谱整形位置对通信收发器性能的影响

2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04. Pub Date : 2004-12-08 DOI: 10.1109/ICIT.2004.1490293

G. Poitau, B. Châtelain, W. Hamdane, A. Kouki, F. Gagnon

引用次数: 2

Backstepping observer validation for sensorless induction motor on low frequencies benchmark 无传感器感应电机低频基准反演观测器验证

2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04. Pub Date : 2004-12-08 DOI: 10.1109/ICIT.2004.1490760

M. Ghanes, A. Glumineau, J. DeLeon

引用次数: 7

Sliding mode control and flux observer for a singularly perturbed model of an induction machine 感应电机奇摄动模型的滑模控制与磁链观测器

2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04. Pub Date : 2004-12-08 DOI: 10.1109/ICIT.2004.1490266

O. Touhami, A. Mezouar, R. Ibtiouen, S. Mekhtoub

引用次数: 3

Research on a multilevel high power converter 一种多电平大功率变换器的研究

2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04. Pub Date : 2004-12-08 DOI: 10.1109/ICIT.2004.1490310

M. Wenzhong, Kong Li, Li Yaohua

引用次数: 1

Experimental control learning based on DSP2 learning module 基于DSP2学习模块的实验控制学习

2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04. Pub Date : 2004-12-08 DOI: 10.1109/ICIT.2004.1490305

S. Uran, D. Hercog, K. Jezernik

引用次数: 4

Analyzing the behavior of a real-time telerobotic system on IEEE 802.11b wireless networks 在IEEE 802.11b无线网络上分析实时遥控机器人系统的行为

2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04. Pub Date : 2004-12-08 DOI: 10.1109/ICIT.2004.1490206

C. del Puerto Riquelme, R. García, M. Malumbres

引用次数: 6

Multi sensor fusion and constraint propagation to localize a mobile robot 利用多传感器融合和约束传播确定移动机器人的位置

2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04. Pub Date : 2004-12-08 DOI: 10.1109/ICIT.2004.1490258

M. Delafosse, A. Clerentin, L. Delahoche, E. Brassart, B. Marhic

{"title":"Multi sensor fusion and constraint propagation to localize a mobile robot","authors":"M. Delafosse, A. Clerentin, L. Delahoche, E. Brassart, B. Marhic","doi":"10.1109/ICIT.2004.1490258","DOIUrl":"https://doi.org/10.1109/ICIT.2004.1490258","url":null,"abstract":"In this paper, a mobile robot localization method is presented like a constraint propagation problem. The mobile robot is equipped with an exteroceptive sensor and dead-reckoning and knows a map of its evolution environment. To model imprecision measurements of these sensors, data are given under shape of intervals. Our localization strategy is based on multi-target tracking, the tracks representing primitives of the robot's environment. During the robot's displacement, the algorithm tries to match its observations with the managed tracks or tries to initialize news with observations thanks to the theoretical map. The matching criterion used is founded on an overlapping percentage between corresponding subpavings. These two actions provide us some mathematical relations between the Cartesian coordinates and the associated measurements in comparison with the robot position (each data being modeled by intervals to manage naturally the imprecision). These data are fused by constraint propagation on intervals. This way composed of two steps forward and backward propagation allows to delete inconsistent values in intervals in order to reduce the imprecision. So, at the end of the localization process, we get a 3-D subpaving, which is supposed to contain the robot's position in a guaranteed way.","PeriodicalId":136064,"journal":{"name":"2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126000461","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}

引用次数: 4

A rule based fuzzy model for the prediction of daily solar radiation 基于规则的模糊日太阳辐射预测模型

2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04. Pub Date : 2004-12-08 DOI: 10.1109/ICIT.2004.1490783

R. Iqdour, A. Zéroual

引用次数: 21