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Springer - Introduction to Visual SLAM: Theory to Practice

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Description

Master the fundamentals of visual simultaneous localization and mapping (vSLAM) with this comprehensive guide from Springer. This book serves as a systematic introduction to a technology essential for robotics, wearable devices, and autonomous driving vehicles. Readers begin with foundational mathematical concepts, including 3D rigid body geometry, pinhole camera projection models, and nonlinear optimization techniques. The text then moves into traditional computer vision topics such as feature matching, optical flow, and bundle adjustment. Written in a light style, this book provides the necessary background to bridge the gap between mathematical theory and practical application in modern autonomous systems.

Key Features

Provides a systematic introduction to visual simultaneous localization and mapping (vSLAM) technology.

Covers essential mathematical foundations including 3D rigid body geometry and pinhole camera projection models.

Explains nonlinear optimization techniques required for advanced robotics and autonomous driving applications.

Includes detailed instruction on traditional computer vision topics like feature matching and optical flow.

Discusses bundle adjustment to help readers understand practical implementation in real-world scenarios.

Offers a light writing style to make complex topics accessible for students and professionals.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
30 September 2022
Listed Since
02 September 2022

Barcode

No barcode data available

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