
BOOKS - TECHNICAL SCIENCES - Multisensor Data Fusion From Algorithms and Architectura...

Multisensor Data Fusion From Algorithms and Architectural Design to Applications
Author: Hassen Fourati
Year: 2017
Format: PDF
File size: 43 MB
Language: ENG

Year: 2017
Format: PDF
File size: 43 MB
Language: ENG

Book Description: Multisensor Data Fusion From Algorithms and Architectural Design to Applications Author: [List of Authors] 2017 Hassen Fourati Genre: Technology, Engineering, Computer Science The book "Multisensor Data Fusion From Algorithms and Architectural Design to Applications" provides an in-depth examination of the current theories and practices of multisensor data fusion, covering everything from basic ideas to cutting-edge methods taken from a variety of fields. This comprehensive compilation of articles, written by some of the top researchers and academics in the field, offers readers a thorough grasp of the fundamentals of multisensor data fusion as well as practical experience with potential issues. The book's contents are divided into sections, each of which delves into a different aspect of multisensor data fusion, such as algorithms, architectural design, and applications. The book begins with an introduction to the subject, discussing the significance of multisensor data fusion in modern technology and the difficulties that come with putting these concepts into practice. The following chapters go into great detail on the many types of sensors used in data fusion, such as cameras, lidar, radar, and ultrasonic sensors, as well as the algorithms and architectures developed to combine and analyze data from these sensors. The book also covers the practical applications of multisensor data fusion in various industries such as robotics, autonomous vehicles, healthcare, and national security.
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