國立虎尾科技大學 |

Introduction to Visual SLAM = From Theory to Practice /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Introduction to Visual SLAM/ by Xiang Gao, Tao Zhang.
Reminder of title:	From Theory to Practice /
Author:	Gao, Xiang.
other author:	Zhang, Tao.
Description:	XXII, 376 p. 109 illus., 91 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Robotics. -
Online resource:	https://doi.org/10.1007/978-981-16-4939-4
ISBN:	9789811649394

Introduction to Visual SLAM = From Theory to Practice /
Gao, Xiang.

Introduction to Visual SLAMFrom Theory to Practice /[electronic resource] :by Xiang Gao, Tao Zhang. - 1st ed. 2021. - XXII, 376 p. 109 illus., 91 illus. in color.online resource.

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

Standard No.: 10.1007/978-981-16-4939-4doiSubjects--Topical Terms:

561941
Robotics.

LC Class. No.: TJ210.2-211.495

Dewey Class. No.: 629.892

Introduction to Visual SLAM = From Theory to Practice /
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