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Introduction to Visual SLAMfrom theo...
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Gao, Xiang.
Introduction to Visual SLAMfrom theory to practice /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Introduction to Visual SLAMby Xiang Gao, Tao Zhang.
其他題名:
from theory to practice /
作者:
Gao, Xiang.
其他作者:
Zhang, Tao.
出版者:
Singapore :Springer Singapore :2021.
面頁冊數:
xxii, 376 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Wireless localization.
電子資源:
https://doi.org/10.1007/978-981-16-4939-4
ISBN:
9789811649394$q(electronic bk.)
Introduction to Visual SLAMfrom theory to practice /
Gao, Xiang.
Introduction to Visual SLAM
from theory to practice /[electronic resource] :by Xiang Gao, Tao Zhang. - Singapore :Springer Singapore :2021. - xxii, 376 p. :ill., digital ;24 cm.
Introduction to Slam -- 3D Rigid Body Motion -- Lie group and Lie Algebra -- Cameras and Images -- Nonlinear Optimization.
This book offers a systematic and comprehensive introduction to the visual simultaneous localization and mapping (vSLAM) technology, which is a fundamental and essential component for many applications in robotics, wearable devices, and autonomous driving vehicles. The book starts from very basic mathematic background knowledge such as 3D rigid body geometry, the pinhole camera projection model, and nonlinear optimization techniques, before introducing readers to traditional computer vision topics like feature matching, optical flow, and bundle adjustment. The book employs a light writing style, instead of the rigorous yet dry approach that is common in academic literature. In addition, it includes a wealth of executable source code with increasing difficulty to help readers understand and use the practical techniques. The book can be used as a textbook for senior undergraduate or graduate students, or as reference material for researchers and engineers in related areas.
ISBN: 9789811649394$q(electronic bk.)
Standard No.: 10.1007/978-981-16-4939-4doiSubjects--Topical Terms:
775723
Wireless localization.
LC Class. No.: TK5103.4895
Dewey Class. No.: 621.384
Introduction to Visual SLAMfrom theory to practice /
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