IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems. IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems最新文献
{"title":"Autonomous 3D modeling for robot arm based scanning","authors":"Ziyun Luo, Shuaijun Wang, Qi Hao","doi":"10.1109/MFI.2017.8170445","DOIUrl":"https://doi.org/10.1109/MFI.2017.8170445","url":null,"abstract":"","PeriodicalId":91496,"journal":{"name":"IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems. IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems","volume":"60 1","pages":"301-305"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84007052","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}
{"title":"2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2016, Baden-Baden, Germany, September 19-21, 2016","authors":"","doi":"10.1109/mfi37864.2016","DOIUrl":"https://doi.org/10.1109/mfi37864.2016","url":null,"abstract":"","PeriodicalId":91496,"journal":{"name":"IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems. IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems","volume":"2204 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91398248","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}
Berk Gonenc, Nhat Tran, Cameron N Riviere, Peter Gehlbach, Russell H Taylor, Iulian Iordachita
{"title":"Force-Based Puncture Detection and Active Position Holding for Assisted Retinal Vein Cannulation.","authors":"Berk Gonenc, Nhat Tran, Cameron N Riviere, Peter Gehlbach, Russell H Taylor, Iulian Iordachita","doi":"10.1109/MFI.2015.7295828","DOIUrl":"https://doi.org/10.1109/MFI.2015.7295828","url":null,"abstract":"<p><p>Retinal vein cannulation is a demanding procedure proposed to treat retinal vein occlusion by direct therapeutic agent delivery methods. Challenges in identifying the moment of venous puncture, achieving cannulation and maintaining cannulation during drug delivery currently limit the feasibility of the procedure. In this study, we respond to these problems with an assistive system combining a handheld micromanipulator, Micron, with a force-sensing microneedle. The integrated system senses the instant of vein puncture based on measured forces and the position of the needle tip. The system actively holds the cannulation device securely in the vein following cannulation and during drug delivery. Preliminary testing of the system in a dry phantom, stretched vinyl membranes, demonstrates a significant improvement in the total time the needle could be maintained stably inside of the vein. This was especially evident in smaller veins and is attributed to decreased movement of the positioned cannula following venous cannulation.</p>","PeriodicalId":91496,"journal":{"name":"IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems. IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems","volume":"2015 ","pages":"322-327"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/MFI.2015.7295828","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34356384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Hybrid-system-based multiple-model approach for transfer alignment with dynamic flexure in IIN","authors":"Zhanping Yan, Jian Lan, Yachong Zhang","doi":"10.1109/MFI.2014.6997712","DOIUrl":"https://doi.org/10.1109/MFI.2014.6997712","url":null,"abstract":"Transfer alignment is the main technique to satisfy the local state estimation function requirement of an integrated inertial network (IIN), and its performance is severely affected by the vibration and flexure of local inertial navigation system (INS). Transfer alignment usually uses linearized differential equations to describe the error propagation process, and it takes the differences between the navigation (attitude, velocity, and position) parameters of the master INS and a slave INS as measurements. For the problem of dynamic flexure, traditional approaches use n-order Gaussian Markov (GM) models to describe the dynamic characteristics of flexure. After analyzing the three main limitations of the traditional approaches, this paper then proposes to use a hybrid system to describe the transfer alignment process with dynamic flexure.Then the multiple-model (MM) approach is used to estimate navigation (attitude, velocity, and position) errors as well as flexure angles. Simulation results demonstrate the effectiveness of the proposed model and approach compared with the traditional transfer alignment with the second-order GM model of flexure angles. Keywords—transfer alignment; flexure angles; hybrid system; multiple-model estimation","PeriodicalId":91496,"journal":{"name":"IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems. IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems","volume":"72 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86268107","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}
{"title":"Design for autonomous self-organizing target detection system based on artificial swarms","authors":"Meiyan An, Li Fan, Zhaokui Wang, Yulin Zhang","doi":"10.1109/MFI.2014.6997699","DOIUrl":"https://doi.org/10.1109/MFI.2014.6997699","url":null,"abstract":"Using multiple robots to form artificial swarms and using methods of self-organization to carry out collective cooperation to fulfill complex tasks are hotspots in researches of robotic control. Artificial swarms with the advantages of distribution, flexibility, robustness, autonomy and so on, will be the main approach to accomplish the complex tasks, such as distributed wireless network, distributed environment detecting. In this paper, the methods of artificial swarms were used to design an Autonomous Self-Organizing Target Detection System (ASOTDS). The theoretical model and the overall requirement were established. The motion strategy of the autonomous mobile platform was designed via virtual potential field. The simulation results showed that using methods of virtual potential field to build an ASOTDS can realize a close and multi-angled surveillance of a pre-designated spots. Keywords—artificial swarms; virtual potential field; target detection system; self-organization","PeriodicalId":91496,"journal":{"name":"IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems. IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems","volume":"1 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81718078","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}
{"title":"Research of literature information retrieval method based on ontology","authors":"Yibing Song, Qinglong Ma","doi":"10.1109/MFI.2014.6997648","DOIUrl":"https://doi.org/10.1109/MFI.2014.6997648","url":null,"abstract":"","PeriodicalId":91496,"journal":{"name":"IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems. IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems","volume":"24 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73228384","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}
{"title":"Flyable path planning for multiple UAVs in complicated threat environment","authors":"Yi Zhang, Xiuxia Yang, Weiwei Zhou","doi":"10.1109/MFI.2014.6997743","DOIUrl":"https://doi.org/10.1109/MFI.2014.6997743","url":null,"abstract":"","PeriodicalId":91496,"journal":{"name":"IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems. IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems","volume":"56 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73596986","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}
{"title":"Adaptive RISE control of a multi-link flexible manipulator based on integral manifold approach","authors":"Jian Luo, Wen Tan, F. Sun","doi":"10.1109/MFI.2014.6997637","DOIUrl":"https://doi.org/10.1109/MFI.2014.6997637","url":null,"abstract":"","PeriodicalId":91496,"journal":{"name":"IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems. IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems","volume":"9 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73105250","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}