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Hierarchical Voronoi Graphs (Record no. 11134)

000 -LEADER
fixed length control field 02652nam a22003855i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310143342.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100301s2010 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783642103452
978-3-642-10345-2
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 629.892
Edition number 23
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg,
-- 2010.
912 ## -
-- ZDB-2-ENG
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Wallgrün, Jan Oliver.
Relator term author.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Hierarchical Voronoi Graphs
Medium [electronic resource] :
Remainder of title Spatial Representation and Reasoning for Mobile Robots /
Statement of responsibility, etc by Jan Oliver Wallgrün.
300 ## - PHYSICAL DESCRIPTION
Extent XXIV, 218p.
Other physical details online resource.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Robot Mapping -- Voronoi-Based Spatial Representations -- Simplification and Hierarchical Voronoi Graph Construction -- Voronoi Graph Matching for Data Association -- Global Mapping: Minimal Route Graphs Under Spatial Constraints -- Experimental Evaluation -- Conclusions and Outlook.
520 ## - SUMMARY, ETC.
Summary, etc Voronoi graphs and their hierarchical extensions have become a widely used tool for deriving abstract spatial representations from environmental data. They are currently being studied and applied in several subfields of computer science such as AI and robotics, computational geometry, and geoinformatics. This book investigates the application of hierarchical Voronoi graphs for the internal spatial memory of a mobile robot, focusing on the robot mapping problem of deriving the correct representation from uncertain data. The author develops and illustrates several fundamental techniques for constructing hierarchical Voronoi graph representations, employing a broad set of methods ranging from spatial abstraction approaches to graph matching, search, and qualitative spatial reasoning. It is further shown how the developed tools can be combined to form an overall robot mapping system. The presented material is intended for researchers, students, and practitioners with backgrounds in robotics, AI, or related fields who are engaged with spatial representations and reasoning.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
Topical term or geographic name as entry element Artificial intelligence.
Topical term or geographic name as entry element Engineering.
Topical term or geographic name as entry element Robotics and Automation.
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783642103025
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-10345-2
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-03-31AUM Main Library2014-03-31 2014-03-31 E-Book   AUM Main Library629.892

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