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Titlebook: Large-Scale Simultaneous Localization and Mapping; Janusz B?dkowski Book 2022 The Editor(s) (if applicable) and The Author(s), under exclu

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發(fā)表于 2025-3-21 18:24:25 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Large-Scale Simultaneous Localization and Mapping
編輯Janusz B?dkowski
視頻videohttp://file.papertrans.cn/582/581420/581420.mp4
概述Provides all necessary observation equations for LiDAR, camera, motion model, and other constraints.Gives programming examples for all observation equations.Presents complementary methodology for larg
叢書(shū)名稱(chēng)Cognitive Intelligence and Robotics
圖書(shū)封面Titlebook: Large-Scale Simultaneous Localization and Mapping;  Janusz B?dkowski Book 2022 The Editor(s) (if applicable) and The Author(s), under exclu
描述This book is dedicated for engineers and researchers who would like to increase the knowledge in area of mobile mapping systems. Therefore, the flow of the derived information is divided into subproblems corresponding to certain mobile mapping data and related observations’ equations. The proposed methodology is not fulfilling all SLAM aspects evident in the literature, but it is based on the experience within the context of the pragmatic and realistic applications. Thus, it can be supportive information for those who are familiar with SLAM and would like to have broader overview in the subject..The novelty is a complete and interdisciplinary methodology for large-scale mobile mapping applications. The contribution is a set of programming examples available as supportive complementary material for this book. All observation equations are implemented, and for each, the programming example is provided. The programming examples are simple C++ implementationsthat can be elaborated by students or engineers; therefore, the experience in coding is not mandatory..Moreover, since the implementation does not require many additional external programming libraries, it can be easily integrated
出版日期Book 2022
關(guān)鍵詞Mobile Mapping; SLAM; Graph SLAM; Pose Graph SLAM; Observation Equation; LiDAR; Camera; Odometry; Visual Odo
版次1
doihttps://doi.org/10.1007/978-981-19-1972-5
isbn_softcover978-981-19-1974-9
isbn_ebook978-981-19-1972-5Series ISSN 2520-1956 Series E-ISSN 2520-1964
issn_series 2520-1956
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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發(fā)表于 2025-3-22 00:03:39 | 只看該作者
ConstraintsThis chapter elaborates a set of important observation equations that extend the camera and LiDAR metrics. They are crucial for building the SLAM system. Further, observation equations provide mechanisms for preserving motion model, preserving smoothness of the trajectory, georeferencing, etc.
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Large-Scale Simultaneous Localization and Mapping978-981-19-1972-5Series ISSN 2520-1956 Series E-ISSN 2520-1964
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Building Large-Scale SLAM BA system optimization, trajectory centric versus map-centric approach and continuous trajectory SLAM. The programming example of building the design matrix is given. Some aspects of loop closing and change detection are discussed.
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