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Introduction to Visual SLAM

Autor Xiang Gao, Tao Zhang
en Limba Engleză Hardback – 29 sep 2021
This book offers a systematic and comprehensive introduction to the visual simultaneous localization and mapping (vSLAM) technology, which is a fundamental and essential component for many applications in robotics, wearable devices, and autonomous driving vehicles. The book starts from very basic mathematic background knowledge such as 3D rigid body geometry, the pinhole camera projection model, and nonlinear optimization techniques, before introducing readers to traditional computer vision topics like feature matching, optical flow, and bundle adjustment.
 
The book employs a light writing style, instead of the rigorous yet dry approach that is common in academic literature. In addition, it includes a wealth of executable source code with increasing difficulty to help readers understand and use the practical techniques. The book can be used as a textbook for senior undergraduate or graduate students, or as reference material for researchers and engineers in related areas.

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Specificații

ISBN-13: 9789811649387
ISBN-10: 9811649383
Pagini: 400
Ilustrații: XXII, 376 p. 109 illus., 91 illus. in color.
Dimensiuni: 160 x 241 x 27 mm
Greutate: 0.71 kg
Ediția:1st ed. 2021
Editura: Springer
Locul publicării:Singapore, Singapore

Cuprins

Introduction to Slam.- 3D Rigid Body Motion.- Lie group and Lie Algebra.- Cameras and Images.- Nonlinear Optimization.

Notă biografică

Professor Chiang began engaging in teaching and research activities in National Taiwan University since he obtained Ph.D. degree from the Department of Civil Engineering, Purdue University, USA in 1982. He is a Distinguished Professor of Graduate Institute of Environmental Engineering and a Director of Carbon Cycle Research Center of National Taiwan University. Professor Chiang is known for his work in physicochemical treatment such as carbon adsorption, membrane and ozonation processes. In addition, he was also devoted to his teaching and research in the area of carbon capture technology, air pollution control design and cleaner production technology. He has published more than 300 paper papers in the above area of environmental engineering. Professor Chiang has received numerous awards for research achievements, including Fellow of Water Environment Federation (WEF), BCCE of American Academy of Environmental Engineers and Scientists (AAEES), and Diplomat of the American Academy of Water Resources Engineers of the American Society of Civil Engineers (ASCE), Outstanding Research Contribution Award, Executive Yuan, Outstanding Research Award, National Science Council, and Distinguished Chinese Institute of Engineer Research Award.
Xiang Gao is currently the dean and a professor of the College of Energy Engineering, Zhejiang University, Hangzhou, China, and the director of Coal-Fired Air Pollution Control Engineering Center for Ministry of National Environmental Protection, China. He received his B.S. and Ph.D. degrees from Zhejiang University. His research focuses on simultaneous removal of multi-pollutants (NOx, SOx, particulate matter, and heavy metal, etc.) in flue gas, flue gas desulphurization, flue gas denitration, PM2.5 Control, and energy-saving technology. He has won First prize of the National Award for Technological Invention, Second prize of the National Award for Scientific and Technological Progress, Second prize of the National Award for Technological Invention, Second prize of the National Award for Teaching Achievements, the Chinese Outstanding Patents Award, etc. He has published more than 200 peer-reviewed papers, more than 60 invention patents (including 3 international patents) and involved in more than 30 authorized national/industrial standards as a leading or important role.

Textul de pe ultima copertă

This book offers a systematic and comprehensive introduction to the visual simultaneous localization and mapping (vSLAM) technology, which is a fundamental and essential component for many applications in robotics, wearable devices, and autonomous driving vehicles. The book starts from very basic mathematic background knowledge such as 3D rigid body geometry, the pinhole camera projection model, and nonlinear optimization techniques, before introducing readers to traditional computer vision topics like feature matching, optical flow, and bundle adjustment.
 
The book employs a light writing style, instead of the rigorous yet dry approach that is common in academic literature. In addition, it includes a wealth of executable source code with increasing difficulty to help readers understand and use the practical techniques. The book can be used as a textbook for senior undergraduate or graduate students, or as reference material for researchers and engineers in related areas.


Caracteristici

Focuses on visual simultaneous localization and mapping technology (vSLAM) Requires little background knowledge and is especially intended for beginners Includes a wealth of experiments and open source sample codes