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

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Projective method for generic sensor fusion problem 一般传感器融合问题的投影方法
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.1999.815955
N. Rao
{"title":"Projective method for generic sensor fusion problem","authors":"N. Rao","doi":"10.1109/MFI.1999.815955","DOIUrl":"https://doi.org/10.1109/MFI.1999.815955","url":null,"abstract":"In a multiple sensor system, each sensor produces an output which is related to the desired feature according to a certain probability distribution. We propose a fuser that combines the sensor outputs to more accurately predict the desired feature. The fuser utilizes the lower envelope of regression curves of sensors to project the sensor with the least error at each point of the feature space. This fuser is optimal among all projective fusers and also satisfies the isolation property that ensures a performance at least as good as the best sensor. In the case the sensor distributions are not known, we show that a consistent estimator of this fuser can be computed entirely based on a training sample. Compared to linear fusers, the projective fusers provide a complementary performance. We propose two classes of metafusers that utilize both linear and projective fusers to perform at least as good as the best sensor as well as the best fuser.","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":"61 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":"132895827","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: 5
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
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
Experiments in the control of perception in multi-sensor system 多传感器系统感知控制的实验研究
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.1999.815959
T. Celinski, B. McCarragher
{"title":"Experiments in the control of perception in multi-sensor system","authors":"T. Celinski, B. McCarragher","doi":"10.1109/MFI.1999.815959","DOIUrl":"https://doi.org/10.1109/MFI.1999.815959","url":null,"abstract":"The paper presents a new approach to management of multiple sensors and perception algorithms in a multi-sensor robotic system. The approach involves real-time selection of process monitors by a Sensory Perception Controller. The selection is based on the minimization of the expected cost of perception with constraints on the uncertainty of perception. The effectiveness and usefulness of the approach is evaluated through experiments involving a range of sensing modalities which may typically be encountered in robotic applications.","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":"124015131","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
Improving the efficiency of motion planning on a polyhedron 提高多面体运动规划的效率
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.1999.815963
P. Cheng, Der Chin Liu
{"title":"Improving the efficiency of motion planning on a polyhedron","authors":"P. Cheng, Der Chin Liu","doi":"10.1109/MFI.1999.815963","DOIUrl":"https://doi.org/10.1109/MFI.1999.815963","url":null,"abstract":"This study presents a novel algorithm to derive an efficient motion planning on a polyhedron model. The proposed algorithm combines the computational geometry method with the numerical analysis method to obtain the bend points that pass through the shortest path. This algorithm should improve the efficiency of the motion planning process. The computational geometry method is applied to create fractional patches, to retrieve information about the patches, and to calculate the distance between two points. The numerical analysis method is applied to derive the feasible paths, and then the Djikstra method is used to identify the shortest path between specific points of the edge boundary. An illustrative example demonstrates this algorithm's feasibility and effectiveness. The purpose of this research is to simplify the process of variant motion planning, eliminate the time needed for estimating the optimal solution of the Voronoi method, and enhance the working efficiency.","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":"79 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":"126920549","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
The two eyes position detection algorithm for a moving viewer using color camera image 基于彩色摄像机图像的移动观众双眼位置检测算法
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.1999.815988
K. Huh
{"title":"The two eyes position detection algorithm for a moving viewer using color camera image","authors":"K. Huh","doi":"10.1109/MFI.1999.815988","DOIUrl":"https://doi.org/10.1109/MFI.1999.815988","url":null,"abstract":"In this paper, we suggest methods of detecting the two-eyes position of moving viewer by using images obtained through the color CCD camera. This procedure is necessary for future 3D display technique, in which the moving viewer can see the 3D image continuously. We develop two algorithms for detecting the position of two eyes: one is the method of using this mask block and the other is that of using pixel analysis.","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":"133879404","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
Control of foveated vision based on short-term memory 基于短期记忆的注视点视觉控制
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.1999.815958
S. Morita, Y. Ishihara
{"title":"Control of foveated vision based on short-term memory","authors":"S. Morita, Y. Ishihara","doi":"10.1109/MFI.1999.815958","DOIUrl":"https://doi.org/10.1109/MFI.1999.815958","url":null,"abstract":"We propose an active foveated vision system based on both the sensory register and the short term memory. The eye has two states of movement. The first, saccard movement, is when the eye moves in the wide region and this was actualized by utilizing a multiple image short-term memory which could save some images. The second state, attention, involves movement in the interest region and this state was achieved using a single image short-term memory which could save only a single image. The total eye movement was then realized by selecting two states. The movement of eye is defined by the image of image features generated by low level vision. We generate the image that we imagine that we see at any instant in time on short-term memory.","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":"96 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":"130166708","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: 3
Distributed multiple view fusion for two-arm distance estimation 分布式多视点融合双臂距离估计
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.1999.815962
C. Scheering, J. Zhang, A. Knoll
{"title":"Distributed multiple view fusion for two-arm distance estimation","authors":"C. Scheering, J. Zhang, A. Knoll","doi":"10.1109/MFI.1999.815962","DOIUrl":"https://doi.org/10.1109/MFI.1999.815962","url":null,"abstract":"We propose an approach for estimating the distance of two moving robot arms based on fusion of multiple vision data. The images are fused by simple concatenation of all images followed by a projection of the high-dimensional visual input data into an appropriate low-dimensional subspace. We extended the well known principal component analysis to the so-called output relevant features and present a distributed online computation algorithm performing the projection in parallel. We show that complex sensor data can be efficiently compressed if the robot motions are constrained to a local scenario. The second component of our model is an adaptive B-spline neuro-fuzzy controller whose input space is the constructed subspace and whose output is the estimated distance. Our experimental setup is a two-arm robot system with four uncalibrated cameras. Experiments with a complex circular motion show that the method works even if no robust geometric features can be extracted from the sensor pattern.","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":"30 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":"129747277","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
Vision feature fusion for classification of electrical motors in an industrial recycling process 工业回收过程中电机分类的视觉特征融合
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.1999.815970
B. Karlsson, J. Jarrhed, P. Wide
{"title":"Vision feature fusion for classification of electrical motors in an industrial recycling process","authors":"B. Karlsson, J. Jarrhed, P. Wide","doi":"10.1109/MFI.1999.815970","DOIUrl":"https://doi.org/10.1109/MFI.1999.815970","url":null,"abstract":"This paper describes the fusion process of image features from vision data in an industrial system for disassembly of worn out electrical motors. In the fusion process fuzzy measures are used to fuse Gaussian shaped possibility measures. After training, the system is able to correctly classify incoming motors to a degree of 95%.","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":"11 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":"117181827","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
Sensor selected fusion system (application to interference of surface roughness in grinding system) 传感器选择融合系统(在磨削系统表面粗糙度干涉中的应用)
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.1999.815976
F. Kobayashi, F. Arai, T. Fukuda, M. Onoda, Y. Hotta
{"title":"Sensor selected fusion system (application to interference of surface roughness in grinding system)","authors":"F. Kobayashi, F. Arai, T. Fukuda, M. Onoda, Y. Hotta","doi":"10.1109/MFI.1999.815976","DOIUrl":"https://doi.org/10.1109/MFI.1999.815976","url":null,"abstract":"In grinding process, sensor fusion methods for inferring the surface roughness from online sensing information have received much attention, because it is quite time consuming to measure manually the surface roughness during process. In addition, recently, it is necessary to select the sensing information for adapting to various situation flexibly. This paper proposes a sensor fusion system with sensor selection method for a grinding system. The sensor selection method is based on the production rules, considering the reliability calculated by the possibility measure which is a type of fuzzy measure. Then, the sensor fusion system fuses the sensor information selected by the sensor selection method using a recurrent neural network.","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":"13 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":"120966568","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
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