Introduction to Visual SLAM - Gao, Xiang; Zhang, Tao; - Prospero Internet Bookshop

Introduction to Visual SLAM: From Theory to Practice
 
Product details:

ISBN13:9789811649387
ISBN10:9811649383
Binding:Hardback
No. of pages:376 pages
Size:235x155 mm
Weight:764 g
Language:English
Illustrations: 18 Illustrations, black & white; 91 Illustrations, color
258
Category:

Introduction to Visual SLAM

From Theory to Practice
 
Edition number: 1st ed. 2021
Publisher: Springer
Date of Publication:
Number of Volumes: 1 pieces, Book
 
Normal price:

Publisher's listprice:
EUR 160.49
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68 079 HUF (64 837 HUF + 5% VAT)
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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  Piece(s)

 
Short description:

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.


Long description:

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.


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