Multisensor Fusion and Integration for Intelligent Systems
Multisensor Fusion and Integration for Intelligent Systems

Author: Lee Suk-han

Publisher: Springer Science & Business Media

Published: 2009-05-28

Total Pages: 476

ISBN-13: 354089859X

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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 Fusion and Integration for Intelligent Systems
Multisensor Fusion and Integration for Intelligent Systems

Author: Lee Suk-han

Publisher: Springer

Published: 2009-05-28

Total Pages: 479

ISBN-13: 9783540898580

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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 Fusion and Integration for Intelligent Systems
Multisensor Fusion and Integration for Intelligent Systems

Author: Lee Suk-han

Publisher: Springer

Published: 2009-10-22

Total Pages: 479

ISBN-13: 9783540898603

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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

Author: Ren C. Luo

Publisher: Intellect Books

Published: 1995

Total Pages: 736

ISBN-13:

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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.

Multisensor Fusion
Multisensor Fusion

Author: Rajive Joshi

Publisher: World Scientific

Published: 1999

Total Pages: 340

ISBN-13: 9789810238803

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The fusion of information from sensors with different physical characteristics, such as sight, touch, sound, etc., enhances the understanding of our surroundings and provides the basis for planning, decision-making, and control of autonomous and intelligent machines. The minimal representation approach to multisensor fusion is based on the use of an information measure as a universal yardstick for fusion. Using models of sensor uncertainty, the representation size guides the integration of widely varying types of data and maximizes the information contributed to a consistent interpretation. In this book, the general theory of minimal representation multisensor fusion is developed and applied in a series of experimental studies of sensor-based robot manipulation. A novel application of differential evolutionary computation is introduced to achieve practical and effective solutions to this difficult computational problem.

2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)
2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)

Author: IEEE Staff

Publisher:

Published: 2015-09-14

Total Pages:

ISBN-13: 9781479977734

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

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

Author: Sukhan Lee

Publisher: Springer

Published: 2018-07-04

Total Pages: 306

ISBN-13: 3319905090

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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.

Multisensor Data Fusion
Multisensor Data Fusion

Author: David Hall

Publisher: CRC Press

Published: 2001-06-20

Total Pages: 564

ISBN-13: 1420038540

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The emerging technology of multisensor data fusion has a wide range of applications, both in Department of Defense (DoD) areas and in the civilian arena. The techniques of multisensor data fusion draw from an equally broad range of disciplines, including artificial intelligence, pattern recognition, and statistical estimation. With the rapid evolut

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)

Author: IEEE Staff

Publisher:

Published: 2017-11-16

Total Pages:

ISBN-13: 9781509060658

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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