Large-Scale Simultaneous Localization and Mapping -  Janusz Bedkowski

Large-Scale Simultaneous Localization and Mapping (eBook)

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2022 | 1st ed. 2022
XVIII, 308 Seiten
Springer Nature Singapore (Verlag)
978-981-19-1972-5 (ISBN)
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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++ implementations that 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 with any mobile mapping framework. Finally, the purpose of this book is to collect all necessary observation equations and solvers to build computational system capable providing large-scale maps.



Janusz Bedkowski is D.Sc. and Ph.D. in mobile robotics. He is a researcher at Polish Academy of Science, Polish Academy of Science, Institute of Fundamental Technological Research, and engineer in TomTom International BV. He is actively working on the theoretical and practical aspects of simultaneous localization and mapping applications assuming global scale. Recently, he is working on the methodology of fulfilling the gap between geodesy and cartography, geo science and mobile robotics. He is active member of European Land Robotic Trial (ELROB) and the European Robotics Hackathon (ENRICH).


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 with any mobile mapping framework. Finally, the purpose of this book is to collect all necessary observation equations and solvers to build computational system capable providing large-scale maps.
Erscheint lt. Verlag 13.6.2022
Reihe/Serie Cognitive Intelligence and Robotics
Cognitive Intelligence and Robotics
Zusatzinfo XVIII, 308 p. 204 illus., 174 illus. in color.
Sprache englisch
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Angewandte Mathematik
Schlagworte Camera • Close range photogrammetry • Graph SLAM • Lidar • LiDAR odometry • Loop Closure • Mobile mapping • Observation Equation • odometry • Photogrammetry • Pose Graph SLAM • SLAM • Visual Odometry
ISBN-10 981-19-1972-0 / 9811919720
ISBN-13 978-981-19-1972-5 / 9789811919725
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