Introduction to Visual SLAM : From Theory to Practice / by Xiang Gao, Tao Zhang.

Format:

Book

Author/Creator:

Gao, Xiang, Author.

Zhang, Tao, Author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Language:

English

Subjects (All):

Robotics.

Image processing.

Computer vision.

Image Processing.

Computer Vision.

Local Subjects:

Robotics.

Image Processing.

Computer Vision.

Physical Description:

1 online resource (XXII, 376 pages) : 109 illustrations, 91 illustrations in color.

Edition:

1st ed. 2021.

Contained In:

Springer Nature eBook

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2021.

System Details:

text file PDF

Summary:

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.

Contents:

Introduction to Slam

3D Rigid Body Motion

Lie group and Lie Algebra

Cameras and Images

Nonlinear Optimization.

Other Format:

Printed edition:

ISBN:

978-981-16-4939-4

9789811649394

Access Restriction:

Restricted for use by site license.