Multisensor Fusion And Integration In The Wake Of Big Data Deep Learning And Cyber Physical System


Multisensor Fusion And Integration In The Wake Of Big Data Deep Learning And Cyber Physical System
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Multisensor Fusion And Integration In The Wake Of Big Data Deep Learning And Cyber Physical System


Multisensor Fusion And Integration In The Wake Of Big Data Deep Learning And Cyber Physical System
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Author : Sukhan Lee
language : en
Publisher: Springer
Release Date : 2018-07-04

Multisensor Fusion And Integration In The Wake Of Big Data Deep Learning And Cyber Physical System written by Sukhan Lee and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-04 with Technology & Engineering categories.


This book includes selected papers from the 13th IEEE International Conference on Multisensor Integration and Fusion for Intelligent Systems (MFI 2017) held in Daegu, Korea, November 16–22, 2017. It covers various topics, including sensor/actuator networks, distributed and cloud architectures, bio-inspired systems and evolutionary approaches, methods of cognitive sensor fusion, Bayesian approaches, fuzzy systems and neural networks, biomedical applications, autonomous land, sea and air vehicles, localization, tracking, SLAM, 3D perception, manipulation with multifinger hands, robotics, micro/nano systems, information fusion and sensors, and multimodal integration in HCI and HRI. The book is intended for robotics scientists, data and information fusion scientists, researchers and professionals at universities, research institutes and laboratories.



Human Systems Engineering And Design Ii


Human Systems Engineering And Design Ii
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Author : Tareq Ahram
language : en
Publisher: Springer
Release Date : 2019-08-13

Human Systems Engineering And Design Ii written by Tareq Ahram and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-13 with Technology & Engineering categories.


This book focuses on novel design and systems engineering approaches, including theories and best practices, for promoting a better integration of people and engineering systems. It covers a range of hot topics related to: development of human-centered systems; interface design and human-computer interaction; usability and user experience; emergent properties of human behavior; innovative materials in manufacturing, biomechanics, and sports medicine, safety engineering and systems complexity business analytics, design and technology and many more. The book, which gathers selected papers presented at the 2nd International Conference on Human Systems Engineering and Design: Future Trends and Applications (IHSED 2019), held on September 16-18, 2019, at Universität der Bundeswehr München, Munich, Germany, provides researchers, practitioners and program managers with a snapshot of the state-of-the-art and current challenges in the field of human systems engineering and design.



A Reliability Aware Fusion Concept Toward Robust Ego Lane Estimation Incorporating Multiple Sources


A Reliability Aware Fusion Concept Toward Robust Ego Lane Estimation Incorporating Multiple Sources
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Author : Tuan Tran Nguyen
language : en
Publisher: Springer
Release Date : 2019-06-14

A Reliability Aware Fusion Concept Toward Robust Ego Lane Estimation Incorporating Multiple Sources written by Tuan Tran Nguyen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-14 with Technology & Engineering categories.


To tackle the challenges of the road estimation task, many works employ a fusion of multiple sources. By that, a commonly made assumption is that the sources always are equally reliable. However, this assumption is inappropriate since each source has certain advantages and drawbacks depending on the operational scenarios. Therefore, Tuan Tran Nguyen proposes a novel concept by incorporating reliabilities into the multi-source fusion so that the road estimation task can alternately select only the most reliable sources. Thereby, the author estimates the reliability for each source online using classifiers trained with the sensor measurements, the past performance and the context. Using real data recordings, he shows via experimental results that the presented reliability-aware fusion increases the availability of automated driving up to 7 percentage points compared to the average fusion. About the Author: Tuan Tran Nguyen received the Master's degree in computer science and the Ph.D. degree from Otto-von-Guericke University Magdeburg, Germany, in 2013 and 2019, respectively. His research focuses on methods and architectures for reliability-based sensor fusion in intelligent vehicles.



Recent Developments And The New Direction In Soft Computing Foundations And Applications


Recent Developments And The New Direction In Soft Computing Foundations And Applications
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Author : Shahnaz N. Shahbazova
language : en
Publisher: Springer Nature
Release Date : 2020-07-10

Recent Developments And The New Direction In Soft Computing Foundations And Applications written by Shahnaz N. Shahbazova and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-10 with Technology & Engineering categories.


This book gathers authoritative contributions in the field of Soft Computing. Based on selected papers presented at the 7th World Conference on Soft Computing, which was held on May 29–31, 2018, in Baku, Azerbaijan, it describes new theoretical advances, as well as cutting-edge methods and applications. New theories and algorithms in fuzzy logic, cognitive modeling, graph theory and metaheuristics are discussed, and applications in data mining, social networks, control and robotics, geoscience, biomedicine and industrial management are described. This book offers a timely, broad snapshot of recent developments, including thought-provoking trends and challenges that are yielding new research directions in the diverse areas of Soft Computing.



Ans Tze Zur Lokalen Bayes Schen Fusion Von Informationsbeitr Gen Heterogener Quellen


Ans Tze Zur Lokalen Bayes Schen Fusion Von Informationsbeitr Gen Heterogener Quellen
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Author : Sander, Jennifer
language : de
Publisher: KIT Scientific Publishing
Release Date : 2021-05-12

Ans Tze Zur Lokalen Bayes Schen Fusion Von Informationsbeitr Gen Heterogener Quellen written by Sander, Jennifer and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-12 with Computers categories.


Die Lösung diverser Aufgaben profitiert von der Informationsfusion oder setzt sie sogar voraus. Die Bayes’sche Fusionsmethodik ist anschaulich, fundiert und erfüllt die essentiellen Anforderungen an eine sinnvolle Methodik auch zur Fusion der Beiträge heterogener Informationsquellen. In vielen praktisch relevanten Aufgaben verursachen Bayes’sche Verfahren hohen, oft nicht tragbaren Aufwand. In der Arbeit werden neuartige Ansätze zur Bewältigung Bayes’scher Fusion formuliert und untersucht. - The solution of various tasks benefits from information fusion or even requires it. The Bayesian fusion methodology is clear, well-founded and fulfills the essential requirements for a meaningful methodology also for fusing the contributions of heterogeneous information sources. In many practically relevant tasks, Bayesian methods cause high, often unacceptable effort. In the work, novel approaches to cope with Bayesian fusion in such situations are formulated and investigated.



Information And Communication Technology And Applications


Information And Communication Technology And Applications
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Author : Sanjay Misra
language : en
Publisher: Springer Nature
Release Date : 2021-02-13

Information And Communication Technology And Applications written by Sanjay Misra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-13 with Computers categories.


This book constitutes revised selected papers from the Third International Conference on Information and Communication Technology and Applications, ICTA 2020, held in Minna, Nigeria, in November 2020. Due to the COVID-19 pandemic the conference was held online. The 67 full papers were carefully reviewed and selected from 234 submissions. The papers are organized in the topical sections on Artificial Intelligence, Big Data and Machine Learning; Information Security Privacy and Trust; Information Science and Technology.



Adaptive Umweltmodellierung F R Kognitive Systeme In Offener Welt Durch Dynamische Konzepte Und Quantitative Modellbewertung


Adaptive Umweltmodellierung F R Kognitive Systeme In Offener Welt Durch Dynamische Konzepte Und Quantitative Modellbewertung
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Author : Kuwertz, Achim Christian
language : de
Publisher: KIT Scientific Publishing
Release Date : 2022-11-22

Adaptive Umweltmodellierung F R Kognitive Systeme In Offener Welt Durch Dynamische Konzepte Und Quantitative Modellbewertung written by Kuwertz, Achim Christian and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-22 with Computers categories.


In dieser Arbeit wird ein Ansatz zur adaptiven Umweltmodellierung betrachtet. Umweltmodelle für kognitive Systeme enthalten oft vorab definierte Domänenmodelle, die für unvorhergesehene Entitäten unzureichend sein können. Der vorgestellte Ansatz adressiert eine adaptive Erweiterung solcher Modelle unter Beachtung der Relevanz von Modellanpassungen. Grundlage ist eine quantitative Modellbewertung, die die Repräsentationsfähigkeit des Modells bezüglich des beobachteten Umgebungszustands bewertet. - In this work, an approach for adaptive world modeling is proposed. World models for cognitive systems often employ predefined domain models, which may become insufficient when encountering unforeseen entities. The presented approach addresses an adaptive extension of such domain models, considering the relevance of proposed model adaptations. As a basis, a quantitative model evaluation is devised, rating the ability of a domain model to represent the currently observed environment state.



2017 Ieee International Conference On Multisensor Fusion And Integration For Intelligent Systems Mfi


2017 Ieee International Conference On Multisensor Fusion And Integration For Intelligent Systems Mfi
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Author : IEEE Staff
language : en
Publisher:
Release Date : 2017-11-16

2017 Ieee International Conference On Multisensor Fusion And Integration For Intelligent Systems Mfi written by IEEE Staff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-16 with Big data categories.


sensor actuator networks, distributed and cloud architectures, bio inspired systems and evolutionary approaches, methods of cognitive sensor fusion, Bayesian approaches, fuzzy systems and neural networks, biomedical applications, autonomous vehicles of land, sea and air, localization, tracking, SLAM, 3D perception, manipulation with multifinger hands, robotics, micro nano systems, information fusion, sensors, multimodal integration in HCI and HRI, etc



Multisensor Fusion And Integration For Intelligent Systems


Multisensor Fusion And Integration For Intelligent Systems
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Author : Lee Suk-han
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-05-28

Multisensor Fusion And Integration For Intelligent Systems written by Lee Suk-han and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-28 with Technology & Engineering categories.


The ?eld of multi-sensor fusion and integration is growing into signi?cance as our societyisintransitionintoubiquitouscomputingenvironmentswithroboticservices everywhere under ambient intelligence. What surround us are to be the networks of sensors and actuators that monitor our environment, health, security and safety, as well as the service robots, intelligent vehicles, and autonomous systems of ever heightened autonomy and dependability with integrated heterogeneous sensors and actuators. The ?eld of multi-sensor fusion and integration plays key role for m- ing the above transition possible by providing fundamental theories and tools for implementation. This volume is an edition of the papers selected from the 7th IEEE International Conference on Multi-Sensor Integration and Fusion, IEEE MFI‘08, held in Seoul, Korea, August 20–22, 2008. Only 32 papers out of the 122 papers accepted for IEEE MFI’08 were chosen and requested for revision and extension to be included in this volume. The 32 contributions to this volume are organized into three parts: Part I is dedicated to the Theories in Data and Information Fusion, Part II to the Multi-Sensor Fusion and Integration in Robotics and Vision, and Part III to the Applications to Sensor Networks and Ubiquitous Computing Environments. To help readers understand better, a part summary is included in each part as an introduction. The summaries of Parts I, II, and III are prepared respectively by Prof. Hanseok Ko, Prof. Sukhan Lee and Prof. Hernsoo Hahn.



Multisensor Integration And Fusion For Intelligent Machines And Systems


Multisensor Integration And Fusion For Intelligent Machines And Systems
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Author : Ren C. Luo
language : en
Publisher: Intellect Books
Release Date : 1995

Multisensor Integration And Fusion For Intelligent Machines And Systems written by Ren C. Luo and has been published by Intellect Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.


There has been a growing interest during the 1990s in the use of multiple sensors to increase the capabilities of intelligent machines and systems. This text is a compendium of some of the most important and influential work that has appeared in this area. In addition, it contains comprehensive introductory material and an extensive survey and review of related research. The volume should be useful to everyone interested in the development of more intelligent machines and systems through the synergistic use of multiple sensors.