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Titlebook: Introduction to Visual SLAM; From Theory to Pract Xiang Gao,Tao Zhang Book 2021 Publishing House of Electronics Industry 2021 Simultaneous

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发表于 2025-3-21 18:43:59 | 显示全部楼层 |阅读模式
书目名称Introduction to Visual SLAM
副标题From Theory to Pract
编辑Xiang Gao,Tao Zhang
视频video
概述Focuses on visual simultaneous localization and mapping technology (vSLAM).Requires little background knowledge and is especially intended for beginners.Includes a wealth of experiments and open sourc
图书封面Titlebook: Introduction to Visual SLAM; From Theory to Pract Xiang Gao,Tao Zhang Book 2021 Publishing House of Electronics Industry 2021 Simultaneous
描述.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..
出版日期Book 2021
关键词Simultaneous Localization and Mapping; SLAM; Visual SLAM; Computer Vision; Augmented Reality; Robotics; Co
版次1
doihttps://doi.org/10.1007/978-981-16-4939-4
isbn_softcover978-981-16-4941-7
isbn_ebook978-981-16-4939-4
copyrightPublishing House of Electronics Industry 2021
The information of publication is updating

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https://doi.org/10.1007/978-981-16-4939-4Simultaneous Localization and Mapping; SLAM; Visual SLAM; Computer Vision; Augmented Reality; Robotics; Co
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Nonlinear OptimizationIn the previous lectures, we introduced the motion and observation equations of the classic SLAM model. Now we know that the pose in the equation can be described by the transformation matrix and then optimized by Lie algebra.
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