Authors:
- Contains a wide survey of models and algorithmic aspects of non-cooperative target tracking, fusion and control
- Features theoretical background for aerospace applications or remote sensing
- Provides many illustrative and computational examples
Part of the book series: Information Fusion and Data Science (IFDS)
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Table of contents (17 chapters)
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Front Matter
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Background and Fundamentals
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Front Matter
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Target Tracking and Fusion
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Front Matter
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Visual Tracking and Fusion
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Front Matter
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Spacecraft Control for Tracking
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Front Matter
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About this book
Authors and Affiliations
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School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China
Zhongliang Jing, Han Pan, Peng Dong
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University of Electronic Science and Technology of China, Chengdu, China
Yuankai Li
About the authors
Professor Zhongliang Jing is the Cheung Kong professor and the Executive Dean working in the School of Aeronautics and Astronautics at Shanghai Jiao Tong University. He is the recipient of the Science and Technology Award for Chinese Youth and a member of the National High-Tech R&D Program Space and Aviation Expert Group. His research interests include adaptive filtering, target tracking, information fusion, avionics integration, and aerospace control.
Dr. Han Pan works at Shanghai Jiao Tong University's School of Aeronautics and Astronautics with skills and expertise in information fusion, optimization algorithms and space robotics.
Dr. Yuankai Li is currently at the School of Aeronautics and Astronautics, University of Electronic Science and Technology of China. His research interests include nonlinear estimation and control, autonomous target tracking and GNC techniques for aerospace vehicles.
Dr. Peng Dong works at Shanghai Jiao Tong University's School of Aeronautics and Astronautics with skills and expertise in information fusion, target tracking and nonlinear filtering.
Bibliographic Information
Book Title: Non-Cooperative Target Tracking, Fusion and Control
Book Subtitle: Algorithms and Advances
Authors: Zhongliang Jing, Han Pan, Yuankai Li, Peng Dong
Series Title: Information Fusion and Data Science
DOI: https://doi.org/10.1007/978-3-319-90716-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-90715-4Published: 09 July 2018
Softcover ISBN: 978-3-030-08081-5Published: 10 January 2019
eBook ISBN: 978-3-319-90716-1Published: 25 June 2018
Series ISSN: 2510-1528
Series E-ISSN: 2510-1536
Edition Number: 1
Number of Pages: XIX, 340
Number of Illustrations: 62 b/w illustrations, 80 illustrations in colour
Topics: Image Processing and Computer Vision, Signal, Image and Speech Processing, Remote Sensing/Photogrammetry, Aerospace Technology and Astronautics, Control and Systems Theory