| 000 | 02832nam a22004455i 4500 | ||
|---|---|---|---|
| 001 | 978-3-642-10345-2 | ||
| 003 | DE-He213 | ||
| 005 | 20140220084528.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100301s2010 gw | s |||| 0|eng d | ||
| 020 |
_a9783642103452 _9978-3-642-10345-2 |
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| 024 | 7 |
_a10.1007/978-3-642-10345-2 _2doi |
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| 050 | 4 | _aTJ210.2-211.495 | |
| 050 | 4 | _aT59.5 | |
| 072 | 7 |
_aTJFM1 _2bicssc |
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| 072 | 7 |
_aTEC037000 _2bisacsh |
|
| 072 | 7 |
_aTEC004000 _2bisacsh |
|
| 082 | 0 | 4 |
_a629.892 _223 |
| 100 | 1 |
_aWallgrün, Jan Oliver. _eauthor. |
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| 245 | 1 | 0 |
_aHierarchical Voronoi Graphs _h[electronic resource] : _bSpatial Representation and Reasoning for Mobile Robots / _cby Jan Oliver Wallgrün. |
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2010. |
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| 300 |
_aXXIV, 218p. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 505 | 0 | _aRobot 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 | _aVoronoi 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 | _aEngineering. | |
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 1 | 4 | _aEngineering. |
| 650 | 2 | 4 | _aRobotics and Automation. |
| 650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783642103025 |
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-10345-2 |
| 912 | _aZDB-2-ENG | ||
| 999 |
_c111736 _d111736 |
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