Large-Scale Simultaneous Localization and ...

Um unseren Shop nutzen zu können, müssen Sie Javascript in Ihrem Browser aktivieren.

Dekorationsartikel gehören nicht zum Leistungsumfang.

Sprache: Englisch

157,95 €*

inkl. MwSt.

Versandkostenfrei per Post / DHL

Lieferzeit 2-3 Wochen

Sie können kein Produkt in den Warenkorb legen, da Javascript und technisch notwendige Cookies aktiviert sein müssen.

Kategorien:

Der Artikel ist nicht in deutscher Sprache verfasst.
Die Sprache der Produktbeschreibung und Details kann in Englisch angegeben sein. Sollten Sie Verständnisprobleme haben, wenden Sie sich gerne an uns.

Beschreibung

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.

Über den Autor

Janusz B¿dkowski 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).

Zusammenfassung

Provides all necessary observation equations for LiDAR, camera, motion model, and other constraints

Gives programming examples for all observation equations

Presents complementary methodology for large-scale mapping

Inhaltsverzeichnis

Chapter 1. Introduction.- Chapter 2. Terminology.- Chapter 3. Weighted Non Linear Least Square Optimization.- Chapter 4. Coordinate Systems.- Chapter 5. Mobile mapping data.- Chapter 6. Mobile Mapping Systems.- Chapter 7. Ground truth data sources.- Chapter 8. Trajectory estimation.- Chapter 9. Nearest observations search.- Chapter 10. Camera metrics.- Chapter 11. LiDAR metrics.- Chapter 12. Constraints.- Chapter 13. Metrics' fusion.- Chapter 14. Building large scale SLAM optimization.- Chapter 15. Loop closing and change detection.- Chapter 16. Final map qualitative and quantitative evaluation.

Details

Erscheinungsjahr:	2022
Genre:	Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Buch
Seiten:	328
Reihe:	Cognitive Intelligence and Robotics
Inhalt:	xviii 308 S. 30 s/w Illustr. 174 farbige Illustr. 308 p. 204 illus. 174 illus. in color.
ISBN-13:	9789811919718
ISBN-10:	9811919712
Sprache:	Englisch
Ausstattung / Beilage:	HC runder Rücken kaschiert
Einband:	Gebunden
Autor:	B¿dkowski, Janusz
Auflage:	1st ed. 2022
Hersteller:	Springer Singapore Springer Nature Singapore Cognitive Intelligence and Robotics
Maße:	241 x 160 x 24 mm
Von/Mit:	Janusz B¿dkowski
Erscheinungsdatum:	14.06.2022
Gewicht:	0,658 kg

preigu-id: 121316431