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Mobile Robot Localization and Map Building: A Multisensor Fusion Approach by Jos
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Located in: Fairfield, Ohio, United States
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eBay item number:386700123616
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- ISBN-13
- 9781461369820
- Book Title
- Mobile Robot Localization and Map Building
- ISBN
- 9781461369820
- Subject Area
- Computers, Technology & Engineering
- Publication Name
- Mobile Robot Localization and Map Building : a Multisensor Fusion Approach
- Item Length
- 9.3 in
- Publisher
- Springer
- Subject
- Automation, Mechanical, Intelligence (Ai) & Semantics
- Publication Year
- 2012
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Width
- 6.1 in
- Item Weight
- 12.3 Oz
- Number of Pages
- Xiii, 205 Pages
About this product
Product Information
During the last decade, many researchers have dedicated their efforts to constructing revolutionary machines and to providing them with forms of artificial intelligence to perform some of the most hazardous, risky or monotonous tasks historically assigned to human beings. Among those machines, mobile robots are undoubtedly at the cutting edge of current research directions. A rough classification of mobile robots can be considered: on the one hand, mobile robots oriented to human-made indoor environments; on the other hand, mobile robots oriented to unstructured outdoor environments, which could include flying oriented robots, space-oriented robots and underwater robots. The most common motion mechanism for surface mobile robots is the wheel-based mechanism, adapted both to flat surfaces, found in human-made environments, and to rough terrain, found in outdoor environments. However, some researchers have reported successful developments with leg-based mobile robots capable of climbing up stairs, although they require further investigation. The research work presented here focuses on wheel-based mobile robots that navigate in human-made indoor environments. The main problems described throughout this book are: Representation and integration of uncertain geometric information by means of the Symmetries and Perturbations Model (SPmodel). This model combines the use of probability theory to represent the imprecision in the location of a geometric element, and the theory of symmetries to represent the partiality due to characteristics of each type of geometric element. A solution to the first location problem, that is, the computation of an estimation for the mobile robot location when the vehicle is completely lost in the environment. The problem is formulated as a search in an interpretation tree using efficient matching algorithms and geometric constraints to reduce the size of the solution space. The book proposes a new probabilistic framework adapted to the problem of simultaneous localization and map building for mobile robots: the Symmetries and Perturbations Map (SPmap). This framework has been experimentally validated by a complete experiment which profited from ground-truth to accurately validate the precision and the appropriateness of the approach. The book emphasizes the generality of the solutions proposed to the different problems and their independence with respect to the exteroceptive sensors mounted on the mobile robot. Theoretical results are complemented by real experiments, where the use of multisensor-based approaches is highlighted.
Product Identifiers
Publisher
Springer
ISBN-10
1461369827
ISBN-13
9781461369820
eBay Product ID (ePID)
175860701
Product Key Features
Publication Name
Mobile Robot Localization and Map Building : a Multisensor Fusion Approach
Format
Trade Paperback
Language
English
Subject
Automation, Mechanical, Intelligence (Ai) & Semantics
Publication Year
2012
Type
Textbook
Subject Area
Computers, Technology & Engineering
Number of Pages
Xiii, 205 Pages
Dimensions
Item Length
9.3 in
Item Width
6.1 in
Item Weight
12.3 Oz
Additional Product Features
Number of Volumes
1 Vol.
Lc Classification Number
Tj212-225
Table of Content
Preface. Acknowledgements. 1. Introduction. 2. Uncertain Geometric Information. 3. Segment-based Representation of Indoor Environments. 4. Detecting High-Level Features by Multisensor Fusion. 5. The First-Location Problem. 6. Simultaneous Localization and Map Building. 7. Conclusions. A. Transformations and Jacobian Matrices in 2D. B. Operations with Uncertain Locations. C. Geometric Relations. D. Experimental Equipment. Bibliography. Index.
Copyright Date
1999
Target Audience
Scholarly & Professional
Dewey Decimal
629.8/92
Dewey Edition
21
Illustrated
Yes
Item description from the seller
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eBay item number:386700123616
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