Multisensor Fusion For Computer Vision

Author : J. K. Aggarwal
Publisher : Springer Science & Business Media
Page : 449 pages
File Size : 55,7 Mb
Release : 2013-06-29
Category : Computers
ISBN : 9783662029572

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Multisensor Fusion for Computer Vision by J. K. Aggarwal Pdf

This volume contains revised papers based on contributions to the NATO Advanced Research Workshop on Multisensor Fusion for Computer Vision, held in Grenoble, France, in June 1989. The 24 papers presented here cover a broad range of topics, including the principles and issues in multisensor fusion, information fusion for navigation, multisensor fusion for object recognition, network approaches to multisensor fusion, computer architectures for multi sensor fusion, and applications of multisensor fusion. The participants met in the beautiful surroundings of Mont Belledonne in Grenoble to discuss their current work in a setting conducive to interaction and the exchange of ideas. Each participant is a recognized leader in his or her area in the academic, governmental, or industrial research community. The workshop focused on techniques for the fusion or integration of sensor information to achieve the optimum interpretation of a scene. Several participants presented novel points of view on the integration of information. The 24 papers presented in this volume are based on those collected by the editor after the workshop, and reflect various aspects of our discussions. The papers are organized into five parts, as follows.

Author : Avinash C. Kak,Su-shing Chen
Publisher : Morgan Kaufmann
Page : 460 pages
File Size : 42,6 Mb
Release : 1987
Category : Computers
ISBN : 0934613591

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Spatial Reasoning and Multi-Sensor Fusion by Avinash C. Kak,Su-shing Chen Pdf

Spatial Reasoning and Multi-Sensor Fusion

Author : Xue-Bo Jin,Yuan Gao
Publisher : MDPI
Page : 602 pages
File Size : 50,6 Mb
Release : 2020-03-23
Category : Technology & Engineering
ISBN : 9783039283026

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Multi-Sensor Information Fusion by Xue-Bo Jin,Yuan Gao Pdf

This book includes papers from the section “Multisensor Information Fusion”, from Sensors between 2018 to 2019. It focuses on the latest research results of current multi-sensor fusion technologies and represents the latest research trends, including traditional information fusion technologies, estimation and filtering, and the latest research, artificial intelligence involving deep learning.

Author : H.B. Mitchell
Publisher : Springer Science & Business Media
Page : 281 pages
File Size : 52,6 Mb
Release : 2007-07-13
Category : Technology & Engineering
ISBN : 9783540715597

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Multi-Sensor Data Fusion by H.B. Mitchell Pdf

This textbook provides a comprehensive introduction to the theories and techniques of multi-sensor data fusion. It is aimed at advanced undergraduate and first-year graduate students in electrical engineering and computer science, as well as researchers and professional engineers. The book is intended to be self-contained. No previous knowledge of multi-sensor data fusion is assumed, although some familiarity with the basic tools of linear algebra, calculus and simple probability theory is recommended.

Author : Xinyu Zhang
Publisher : Springer Nature
Page : 237 pages
File Size : 53,6 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 9789819932801

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Multi-sensor Fusion for Autonomous Driving by Xinyu Zhang Pdf

Author : Ren C. Luo,Michael G. Kay
Publisher : Intellect Books
Page : 736 pages
File Size : 51,6 Mb
Release : 1995
Category : Computers
ISBN : UOM:39015034207244

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Multisensor Integration and Fusion for Intelligent Machines and Systems by Ren C. Luo,Michael G. Kay Pdf

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.

Author : Anthony K. Hyder,E. Shahbazian,E. Waltz
Publisher : Springer Science & Business Media
Page : 929 pages
File Size : 44,5 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9789401005562

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Multisensor Fusion by Anthony K. Hyder,E. Shahbazian,E. Waltz Pdf

For some time, all branches of the military have used a wide range of sensors to provide data for many purposes, including surveillance, reconnoitring, target detection and battle damage assessment. Many nations have also attempted to utilise these sensors for civilian applications, such as crop monitoring, agricultural disease tracking, environmental diagnostics, cartography, ocean temperature profiling, urban planning, and the characterisation of the Ozone Hole above Antarctica. The recent convergence of several important technologies has made possible new, advanced, high performance, sensor based applications relying on the near-simultaneous fusion of data from an ensemble of different types of sensors. The book examines the underlying principles of sensor operation and data fusion, the techniques and technologies that enable the process, including the operation of 'fusion engines'. Fundamental theory and the enabling technologies of data fusion are presented in a systematic and accessible manner. Applications are discussed in the areas of medicine, meteorology, BDA and targeting, transportation, cartography, the environment, agriculture, and manufacturing and process control.

Author : Zhiqin Zhu,Yu Liu,Huafeng Li,Guanqiu Qi,Bo Xiao
Publisher : Frontiers Media SA
Page : 207 pages
File Size : 54,5 Mb
Release : 2023-10-25
Category : Science
ISBN : 9782832536933

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Multi-Sensor Imaging and Fusion: Methods, Evaluations, and Applications by Zhiqin Zhu,Yu Liu,Huafeng Li,Guanqiu Qi,Bo Xiao Pdf

Author : Michael Yang,Bodo Rosenhahn,Vittorio Murino
Publisher : Academic Press
Page : 422 pages
File Size : 50,5 Mb
Release : 2019-07-16
Category : Computers
ISBN : 9780128173596

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Multimodal Scene Understanding by Michael Yang,Bodo Rosenhahn,Vittorio Murino Pdf

Multimodal Scene Understanding: Algorithms, Applications and Deep Learning presents recent advances in multi-modal computing, with a focus on computer vision and photogrammetry. It provides the latest algorithms and applications that involve combining multiple sources of information and describes the role and approaches of multi-sensory data and multi-modal deep learning. The book is ideal for researchers from the fields of computer vision, remote sensing, robotics, and photogrammetry, thus helping foster interdisciplinary interaction and collaboration between these realms. Researchers collecting and analyzing multi-sensory data collections – for example, KITTI benchmark (stereo+laser) - from different platforms, such as autonomous vehicles, surveillance cameras, UAVs, planes and satellites will find this book to be very useful. Contains state-of-the-art developments on multi-modal computing Shines a focus on algorithms and applications Presents novel deep learning topics on multi-sensor fusion and multi-modal deep learning

Author : Ciza Thomas
Publisher : BoD – Books on Demand
Page : 498 pages
File Size : 41,8 Mb
Release : 2010-08-16
Category : Computers
ISBN : 9789533071015

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Sensor Fusion and its Applications by Ciza Thomas Pdf

This book aims to explore the latest practices and research works in the area of sensor fusion. The book intends to provide a collection of novel ideas, theories, and solutions related to the research areas in the field of sensor fusion. This book is a unique, comprehensive, and up-to-date resource for sensor fusion systems designers. This book is appropriate for use as an upper division undergraduate or graduate level text book. It should also be of interest to researchers, who need to process and interpret the sensor data in most scientific and engineering fields. The initial chapters in this book provide a general overview of sensor fusion. The later chapters focus mostly on the applications of sensor fusion. Much of this work has been published in refereed journals and conference proceedings and these papers have been modified and edited for content and style. With contributions from the world's leading fusion researchers and academicians, this book has 22 chapters covering the fundamental theory and cutting-edge developments that are driving this field.

Author : Bozzano G Luisa
Publisher : Academic Press
Page : 559 pages
File Size : 47,5 Mb
Release : 1992-10-12
Category : Computers
ISBN : 9780323138352

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Data Fusion in Robotics & Machine Intelligence by Bozzano G Luisa Pdf

This book addresses the techniques for modeling and integration of data provided by different sensors within robotics and knowledge sources within machine intelligence. Leaders in robotics and machine intelligence capture state-of-the-art technology in data sensor fusion and give a unified vision of the future of the field, presented from both the theoretical and practical angles.

Author : Gian Luca Foresti,Carlo S. Regazzoni,Pramod K. Varshney
Publisher : Springer Science & Business Media
Page : 283 pages
File Size : 55,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461503712

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Multisensor Surveillance Systems by Gian Luca Foresti,Carlo S. Regazzoni,Pramod K. Varshney Pdf

Monitoring of public and private sites is increasingly becoming a very important and critical issue, especially after the recent flurry of terrorist attacks including the one on the Word Trade Center in September 2001. It is, therefore, imperative that effective multisensor surveillance systems be developed to protect the society from similar attacks in the future. The new generation of surveillance systems to be developed have a specific requirement: they must be able to automatically identify criminal and terrorist activity without sacrificing individual privacy to the extent possible. Privacy laws concerning monitoring and surveillance systems vary from country to country but, in general, they try to protect the privacy of their citizens. Monitoring and visual surveillance has numerous other applications. It can be employed to help invalids or handicapped and to monitor the activities of elderly people. It can be used to monitor large events such as sporting events, as well. Nowadays, monitoring is employ~d in several different contexts including transport applications, such as monitoring of railway stations and airports, dangerous environments like nuclear facilities or traffic flows on roads and bridges. The latest generation of surveillance systems mainly rely on hybrid analog-digital, or completely digital video communications and processing methods and take advantage of the greater of flexibility offered by video processing algorithms that are capable focusing a human operator's attention on a set of interesting situations.

Author : Ni-Bin Chang,Kaixu Bai
Publisher : CRC Press
Page : 647 pages
File Size : 40,9 Mb
Release : 2018-02-21
Category : Technology & Engineering
ISBN : 9781351650632

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Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing by Ni-Bin Chang,Kaixu Bai Pdf

In the last few years the scientific community has realized that obtaining a better understanding of interactions between natural systems and the man-made environment across different scales demands more research efforts in remote sensing. An integrated Earth system observatory that merges surface-based, air-borne, space-borne, and even underground sensors with comprehensive and predictive capabilities indicates promise for revolutionizing the study of global water, energy, and carbon cycles as well as land use and land cover changes. The aim of this book is to present a suite of relevant concepts, tools, and methods of integrated multisensor data fusion and machine learning technologies to promote environmental sustainability. The process of machine learning for intelligent feature extraction consists of regular, deep, and fast learning algorithms. The niche for integrating data fusion and machine learning for remote sensing rests upon the creation of a new scientific architecture in remote sensing science that is designed to support numerical as well as symbolic feature extraction managed by several cognitively oriented machine learning tasks at finer scales. By grouping a suite of satellites with similar nature in platform design, data merging may come to help for cloudy pixel reconstruction over the space domain or concatenation of time series images over the time domain, or even both simultaneously. Organized in 5 parts, from Fundamental Principles of Remote Sensing; Feature Extraction for Remote Sensing; Image and Data Fusion for Remote Sensing; Integrated Data Merging, Data Reconstruction, Data Fusion, and Machine Learning; to Remote Sensing for Environmental Decision Analysis, the book will be a useful reference for graduate students, academic scholars, and working professionals who are involved in the study of Earth systems and the environment for a sustainable future. The new knowledge in this book can be applied successfully in many areas of environmental science and engineering.

Author : Anonim
Publisher : Unknown
Page : 372 pages
File Size : 42,7 Mb
Release : 2003
Category : Artificial intelligence
ISBN : UOM:39015047940914

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MFI ... by Anonim Pdf

Author : Hassen Fourati
Publisher : CRC Press
Page : 632 pages
File Size : 44,7 Mb
Release : 2017-12-19
Category : Technology & Engineering
ISBN : 9781351830881

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Multisensor Data Fusion by Hassen Fourati Pdf

Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice of multisensor data fusion, from fundamental concepts to cutting-edge techniques drawn from a broad array of disciplines. Featuring contributions from the world’s leading data fusion researchers and academicians, this authoritative book: Presents state-of-the-art advances in the design of multisensor data fusion algorithms, addressing issues related to the nature, location, and computational ability of the sensors Describes new materials and achievements in optimal fusion and multisensor filters Discusses the advantages and challenges associated with multisensor data fusion, from extended spatial and temporal coverage to imperfection and diversity in sensor technologies Explores the topology, communication structure, computational resources, fusion level, goals, and optimization of multisensor data fusion system architectures Showcases applications of multisensor data fusion in fields such as medicine, transportation's traffic, defense, and navigation Multisensor Data Fusion: From Algorithms and Architectural Design to Applications is a robust collection of modern multisensor data fusion methodologies. The book instills a deeper understanding of the basics of multisensor data fusion as well as a practical knowledge of the problems that can be faced during its execution.