发布求助
文献互助 智能选刊 最新文献

Proceedings. 1999 IEEE/SICE/RSJ. International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI'99 (Cat. No.99TH8480)最新文献

筛选
英文 中文
A multisensor fusion approach to shape estimation using a mobile platform with uncalibrated position 一种基于位置未标定移动平台的多传感器融合形状估计方法
Proceedings. 1999 IEEE/SICE/RSJ. International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI'99 (Cat. No.99TH8480) Pub Date : 1999-08-15 DOI: 10.1109/MFI.1999.815990
Ziang Zhang, B. K. Ghosh
{"title":"A multisensor fusion approach to shape estimation using a mobile platform with uncalibrated position","authors":"Ziang Zhang, B. K. Ghosh","doi":"10.1109/MFI.1999.815990","DOIUrl":"https://doi.org/10.1109/MFI.1999.815990","url":null,"abstract":"Estimation of three dimensional shapes is a difficult problem which has been considered by researchers in machine vision and robotics. A typical problem is to estimate shape using images taken from various viewpoints. We consider a camera mounted on a mobile platform which is actively controlled effecting changes in the viewpoint of the camera. The mobile platform also has the capability of 2D ranging in addition to the camera-hence providing an opportunity for sensor fusion. In this paper, we first developed a new technique to calibrate the position of the mobile platform based on range lines and odometer. Then based on these calibration parameters, the shape (plane) estimation using extended Kalman filter (EKF) is carried out utilizing multiple views from the CCD camera and the range data from the range finder. The effectiveness of this approach has been proved by experimental results.","PeriodicalId":148154,"journal":{"name":"Proceedings. 1999 IEEE/SICE/RSJ. International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI'99 (Cat. No.99TH8480)","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127162155","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: 2
Analysis of ion and X-ray time series measurements of electron beam welding for development of online monitoring 对电子束焊接的离子和x射线时间序列测量进行分析，开发在线监测系统
Proceedings. 1999 IEEE/SICE/RSJ. International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI'99 (Cat. No.99TH8480) Pub Date : 1999-08-15 DOI: 10.1109/MFI.1999.815993
Choong Sup Yuon, Bong Jo Hyu
{"title":"Analysis of ion and X-ray time series measurements of electron beam welding for development of online monitoring","authors":"Choong Sup Yuon, Bong Jo Hyu","doi":"10.1109/MFI.1999.815993","DOIUrl":"https://doi.org/10.1109/MFI.1999.815993","url":null,"abstract":"Time series analysis results show the singular value decomposition is a candidate of online monitoring of welding penetration in a case that the covariance matrix of a full penetration is used as a mapping function. The mapped time series lie on a hyper-ellipsoid in which the lengths of semi-axes are the squared eigenvalues of the covariance matrix. Furthermore, this algorithm is fast compared with others since only the multiplication with the covariance matrix is used. A depth of welding is closely related with the volume of hyper-ellipsoid.","PeriodicalId":148154,"journal":{"name":"Proceedings. 1999 IEEE/SICE/RSJ. International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI'99 (Cat. No.99TH8480)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121682054","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: 1
An efficient and compact integration of CMOS image sensors and cellular neural network (CNN) for intelligent processing CMOS图像传感器和细胞神经网络(CNN)的高效紧凑集成，用于智能处理
Proceedings. 1999 IEEE/SICE/RSJ. International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI'99 (Cat. No.99TH8480) Pub Date : 1999-08-15 DOI: 10.1109/MFI.1999.815995
Chung-Yu Wu, Wen-Cheng Yen
{"title":"An efficient and compact integration of CMOS image sensors and cellular neural network (CNN) for intelligent processing","authors":"Chung-Yu Wu, Wen-Cheng Yen","doi":"10.1109/MFI.1999.815995","DOIUrl":"https://doi.org/10.1109/MFI.1999.815995","url":null,"abstract":"By using the neuron-bipolar junction transistor (BJT) as phototransistor and single-transistor neuron, the cellular neural network (CNN) can be compactly integrated with CMOS image sensors so that the optical images can be input to the CNN directly for neural image processing. With the neuron-BJT, realized by the parasitic pnp BJT in n-well CMOS technology, the optical-input CNN with symmetric templates can be implemented in very small chip area. The cell area can be as small as 20 /spl mu/m/spl times/24 /spl mu/m. The simulation results have confirmed the correct function of the proposed optical-input compact CNN.","PeriodicalId":148154,"journal":{"name":"Proceedings. 1999 IEEE/SICE/RSJ. International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI'99 (Cat. No.99TH8480)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126440907","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: 1
System modeling and robust design of microaccelerometer using piezoelectric thin film 压电薄膜微加速度计系统建模与鲁棒性设计
Proceedings. 1999 IEEE/SICE/RSJ. International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI'99 (Cat. No.99TH8480) Pub Date : 1999-08-15 DOI: 10.1109/MFI.1999.815972
Jyh-Cheng Yu, Chiang-Bin Lan
{"title":"System modeling and robust design of microaccelerometer using piezoelectric thin film","authors":"Jyh-Cheng Yu, Chiang-Bin Lan","doi":"10.1109/MFI.1999.815972","DOIUrl":"https://doi.org/10.1109/MFI.1999.815972","url":null,"abstract":"This paper starts from the structure analysis and system modeling of piezoelectric microaccelerometer using piezoelectric thin film. The simulation model demonstrates the interaction of structure variables, piezoelectric material parameters and amplification circuit design to the sensor performance. However, manufacturing error results in the variations of design variables, which has significant effects on sensor accuracy. The proposed system model is applied to the parameter design of microaccelerometer. The paper conducts the design optimization and robustness analysis using Taguchi's method to reduce the sensitivity of the sensor response to the dimensional errors and variations of material properties. A FEM study is applied to verify the theoretical model and design improvement.","PeriodicalId":148154,"journal":{"name":"Proceedings. 1999 IEEE/SICE/RSJ. International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI'99 (Cat. No.99TH8480)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128105425","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: 19
Multi-sensor/knowledge fusion 多传感器/知识融合
Proceedings. 1999 IEEE/SICE/RSJ. International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI'99 (Cat. No.99TH8480) Pub Date : 1999-08-15 DOI: 10.1109/MFI.1999.815975
C. Hiransoog, C. Malcolm
{"title":"Multi-sensor/knowledge fusion","authors":"C. Hiransoog, C. Malcolm","doi":"10.1109/MFI.1999.815975","DOIUrl":"https://doi.org/10.1109/MFI.1999.815975","url":null,"abstract":"This paper presents a new approach to solve the sensor fusion problem. This new approach is called multi-sensor/knowledge fusion (MSKF) which takes into account not only the fusion of information between multiple sensory systems but also the fusion between sensory information with system's prior knowledge of its environment. This MSKF architecture is a modification of the real-time control system (RCS) developed by Albus (1997). This RCS was designed to be a reference control architecture model for creating intelligent systems. The RCS itself uses a hierarchical control strategy with each layer of the hierarchy decomposes into plans for parallel and sequential sub-tasks. However, the sensory processing module in the RCS was re-designed in the MSKF architecture for the use of multiple types of sensors. The test of this new control architecture is carried out on a LEGO toy kit assembly task.","PeriodicalId":148154,"journal":{"name":"Proceedings. 1999 IEEE/SICE/RSJ. International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI'99 (Cat. No.99TH8480)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121929829","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: 2
IMMPDA filter via perception net 通过感知网进行IMMPDA滤波
Proceedings. 1999 IEEE/SICE/RSJ. International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI'99 (Cat. No.99TH8480) Pub Date : 1999-08-15 DOI: 10.1109/MFI.1999.816001
J. Choi, Tao Fang, S. Lee
{"title":"IMMPDA filter via perception net","authors":"J. Choi, Tao Fang, S. Lee","doi":"10.1109/MFI.1999.816001","DOIUrl":"https://doi.org/10.1109/MFI.1999.816001","url":null,"abstract":"This paper presents an improved performance of the IMMPDA (interacting multiple model with probabilistic data association) filter with the detecting capability of a maneuvering. In order to detect the maneuvering of a target, an error monitoring and recovery method of perception net is applied to the IMMPDA filter. This method is derived as an extension of the previous results given by Choi et al. (1999) on tracking for a maneuvering target without clutter. The effectiveness of the proposed method is validated through simulations by comparing it with the conventional IMMPDA filter.","PeriodicalId":148154,"journal":{"name":"Proceedings. 1999 IEEE/SICE/RSJ. International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI'99 (Cat. No.99TH8480)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129332355","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: 1
The sensor fusion of gyro controller system for the smart vehicle 智能汽车陀螺控制系统的传感器融合
Proceedings. 1999 IEEE/SICE/RSJ. International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI'99 (Cat. No.99TH8480) Pub Date : 1999-08-15 DOI: 10.1109/MFI.1999.815987
DukSun Yun, Jung Ha Kim
{"title":"The sensor fusion of gyro controller system for the smart vehicle","authors":"DukSun Yun, Jung Ha Kim","doi":"10.1109/MFI.1999.815987","DOIUrl":"https://doi.org/10.1109/MFI.1999.815987","url":null,"abstract":"Nowadays, the GPS (Global Positioning System) is generally used for the car navigation system but it has some restrictions such as the discontinuity of Earth satellite's signals and artificial errors called SA (selective availability). To solve these problems, the INS (inertial navigation system) sensor fusion with GPS is very attractive for improving the accuracy of detecting a vehicle position. The DR (dead reckoning), which is one form of the INS uses a wheel magnetic sensor for the driving distance and a gyro sensor for the vehicle orientation. The black-box, which is the most important record after a car accident, contains data from acceleration sensors and a gyro sensor. In this paper, gyro controller system using single-chip microprocessor (i80c196kc) is developed for the DR and black-box.","PeriodicalId":148154,"journal":{"name":"Proceedings. 1999 IEEE/SICE/RSJ. International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI'99 (Cat. No.99TH8480)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130169448","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: 7
A multisensor system for observation of user actions in programming by demonstration 一种多传感器系统，用于在编程过程中观察用户的动作
Proceedings. 1999 IEEE/SICE/RSJ. International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI'99 (Cat. No.99TH8480) Pub Date : 1999-08-15 DOI: 10.1109/MFI.1999.815981
M. Ehrenmann, P. Steinhaus, R. Dillmann
{"title":"A multisensor system for observation of user actions in programming by demonstration","authors":"M. Ehrenmann, P. Steinhaus, R. Dillmann","doi":"10.1109/MFI.1999.815981","DOIUrl":"https://doi.org/10.1109/MFI.1999.815981","url":null,"abstract":"Good observation of a manipulation presentation performed by a human teacher is crucial to further processing steps in programming by demonstration in interactive robot programming. This paper outlines a concept of how this can be done using visual and finger measuring sensors. The input sources include: a data glove which classifies several gestures and grasps, an active stereo vision, and a fixed ceiling camera. The hardware used is presented together with the technical concepts of processing and the acquired sensor information fusion, so called elementary cognitive operators. All the sensor sources use time-efficient algorithms, since sensor data must be processed in real-time.","PeriodicalId":148154,"journal":{"name":"Proceedings. 1999 IEEE/SICE/RSJ. International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI'99 (Cat. No.99TH8480)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127789681","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: 13
Sensor fusion by principal and independent component decomposition using neural networks 基于主成分分解和神经网络的传感器融合
Proceedings. 1999 IEEE/SICE/RSJ. International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI'99 (Cat. No.99TH8480) Pub Date : 1999-08-15 DOI: 10.1109/MFI.1999.815991
F. Salam, G. Erten
{"title":"Sensor fusion by principal and independent component decomposition using neural networks","authors":"F. Salam, G. Erten","doi":"10.1109/MFI.1999.815991","DOIUrl":"https://doi.org/10.1109/MFI.1999.815991","url":null,"abstract":"The paper describes a view to use both principal component analysis (PCA) and independent component analysis (ICA) within the context of sensor fusion. A nonlinear version of PCA would be appropriate for representing signals/data which span a submanifold structure in its coordinate space. The nonlinear PCA is a candidate for data reduction/compression where multisensors are measurement the same type of signal, e.g., image or sound. In contrast the ICA is a candidate for fusing different types of signals, e.g., image, sound, acceleration, etc., to generate independent components. The PCA approach can be used to transfer compressed data then reconstruct the information bearing signal for use. While the ICA may be used to infer the condition/state of the environment, e.g., office building, airport, etc. Thus the two approaches can be integrated to form a complementary sensory fusion system.","PeriodicalId":148154,"journal":{"name":"Proceedings. 1999 IEEE/SICE/RSJ. International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI'99 (Cat. No.99TH8480)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125359900","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: 6
Classifying contact states for recognizing human assembly task 基于接触状态分类的人工装配任务识别
Proceedings. 1999 IEEE/SICE/RSJ. International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI'99 (Cat. No.99TH8480) Pub Date : 1999-08-15 DOI: 10.1109/MFI.1999.815985
J. Takamatsu, H. Kirnura, K. Ikeuchi
{"title":"Classifying contact states for recognizing human assembly task","authors":"J. Takamatsu, H. Kirnura, K. Ikeuchi","doi":"10.1109/MFI.1999.815985","DOIUrl":"https://doi.org/10.1109/MFI.1999.815985","url":null,"abstract":"Long development time and efforts are required to complete robot programs. To shorten this programming time and minimize the efforts, we have been developing the system, referred to as \"assembly plan from observation (APO) system\". The system first observes human actions, understands them and then automatically generates robot programs to mimic these actions. For understanding them, we use transitions of contact states. Since there are infinite contact states in the real world, we need to classify contact states. In this paper, we describe the method to classify contact states obtained from observers.","PeriodicalId":148154,"journal":{"name":"Proceedings. 1999 IEEE/SICE/RSJ. International Conference on Multisensor Fusion and Integration for Intelligent Systems. MFI'99 (Cat. No.99TH8480)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124349631","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: 16
下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信