Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems最新文献_第8页

Sensing strategy and recognizing attractor 感应策略与吸引子识别

Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems Pub Date : 1994-10-02 DOI: 10.1109/MFI.1994.398461

C. Yuhui, T. Ikegami, K. Takamasu, S. Ozono

引用次数: 0

One-dimensional sequential sensor fusion 一维序列传感器融合

Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems Pub Date : 1994-10-02 DOI: 10.1109/MFI.1994.398472

R. Tanner

引用次数: 0

Signature search method for 3-D pose refinement with range data 基于距离数据的三维姿态精细特征搜索方法

Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems Pub Date : 1994-10-02 DOI: 10.1109/MFI.1994.398438

N. Burtnyk, M. Greenspan

引用次数: 6

Velocity based vestibular-visual integration in active sensing system 主动传感系统中基于速度的前庭视觉整合

Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems Pub Date : 1994-10-02 DOI: 10.1109/MFI.1994.398394

T. Yamaguchi, H. Yamasaki

{"title":"Velocity based vestibular-visual integration in active sensing system","authors":"T. Yamaguchi, H. Yamasaki","doi":"10.1109/MFI.1994.398394","DOIUrl":"https://doi.org/10.1109/MFI.1994.398394","url":null,"abstract":"It is necessary for most of advanced visual sensing systems to realize visual stabilization and target gazing prior to recognition process when operating in a structurally unconstrained environment. In this paper, a new method of acquiring that fundamental ability by sensor fusion technique is proposed. It is important to choose an appropriate sensor fusion basis, and it is proposed to integrate the visual system with angular velocity sensors and a gaze control system by one of those constraint conditions which govern the relation between measured and control variables. It is also proposed that such a visual sensing system is realized by integrating the systems through their (angular) velocity information. Because the velocity field in the image can be now calculated in real time and the angular velocity can be treated directly by both rate gyroscopes and gaze control motors, such an integration is expected to fit for the visual system which requires quick response. Experimental results show that proposed velocity based visual stabilization is feasible and exhibits better performance than that solely by a single sensation. The reason accounting for this improvement is also theoretically discussed.<<ETX>>","PeriodicalId":133630,"journal":{"name":"Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131752735","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: 9

Propagation mode estimation: a prerequisite for OTH radar fusion 传播模式估计:OTH雷达融合的先决条件

Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems Pub Date : 1994-10-02 DOI: 10.1109/MFI.1994.398406

T. Kurien, P. Milanfar, D. Logan, W. P. Berry

引用次数: 1

Distributed panoramic sensing in multiagent robotics 多智能体机器人中的分布式全景传感

Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems Pub Date : 1994-10-02 DOI: 10.1109/MFI.1994.398381

M. J. Barth, H. Ishiguro

{"title":"Distributed panoramic sensing in multiagent robotics","authors":"M. J. Barth, H. Ishiguro","doi":"10.1109/MFI.1994.398381","DOIUrl":"https://doi.org/10.1109/MFI.1994.398381","url":null,"abstract":"In the field of multiagent robotics, much emphasis has been placed on explicit communication strategies between robots, and little on sensing. Sensing is often used on individual robots for avoiding obstacles, however the authors believe its use at a higher level can be advantageous for multiagent cooperation. The authors introduce a concept of cooperation by observation that features the use of panoramic vision sensing applied to multiagent robotics. Using panoramic vision techniques, a robot can view 360/spl deg/ around itself and also obtain coarse range information to objects in its environment. By also observing other robots in the robot society, localizing oneself within the group can be achieved. Thus each robot can observe its local area and create a local map. These distributed local maps centered around each robot can then be integrated into a larger global map based on the relative localization information between robots. Further, by sensing the positions of other robots and objects, a set of simple behaviors can be used to effectively explore the environment. Each robot calculates the range uncertainty to objects while viewing, and then moves to minimize that uncertainty. Multiagent exploration based on these behaviors has been shown to be effective through preliminary experimentation.<<ETX>>","PeriodicalId":133630,"journal":{"name":"Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems","volume":"389 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133354283","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

Motion planning for multiple obstacles avoidance of autonomous mobile robot using hierarchical fuzzy rules 基于层次模糊规则的自主移动机器人多障碍物避障运动规划

Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems Pub Date : 1994-10-02 DOI: 10.1109/MFI.1994.398454

T. Aoki, M. Matsuno, T. Suzuki, S. Okuma

引用次数: 25

MAVI: a multi-agent system for visual integration MAVI:用于视觉集成的多代理系统

Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems Pub Date : 1994-10-02 DOI: 10.1109/MFI.1994.398382

O. Boissier, Y. Demazeau

引用次数: 20

Recognition of 3D objects by a 3-fingered robot hand equipped with tactile and force sensors 通过配备触觉和力传感器的三指机器人手识别3D物体

Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems Pub Date : 1994-10-02 DOI: 10.1109/MFI.1994.398440

H. Hahn

引用次数: 5

Dynamic tactile information sensing for dextrous fingers utilizing displacement parameters of a suspension shell 基于悬浮壳位移参数的灵巧手指动态触觉信息传感

Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems Pub Date : 1994-10-02 DOI: 10.1109/MFI.1994.398447

T. Okada, Kinya Inamura, T. Suzuki

引用次数: 2