Cluster computing for robotics and computer vision / Damian M. Lyons.

By:

Lyons, Damian M

Material type: Text

text

Media type:

computer

Carrier type:

online resource

ISBN:

9789812836366
9812836365
1283433257
9781283433259
9786613433251
661343325X

Subject(s): Genre/Form:

Electronic books.

Additional physical formats: Print version:: Cluster computing for robotics and computer vision.DDC classification:

006.3 22

LOC classification:

TJ211 .L9667 2011eb

Online resources:

Click here to access online

Contents:

1. Introduction -- 2. Clusters and robots -- 3. Cluster programming -- 4. Robot motion -- 5. Sensors -- 6. Mapping and localization -- 7. Vision and tracking -- 8. Learning landmarks -- 9. Robot architectures -- Appendix I: Summary of OpenMPI man page for mpirun -- Appendix II: MPI datatypes -- Appendix III: MPI reduction operations -- Appendix IV: MPI application programmer interface.

Summary: In this book, we look at how cluster technology can be leveraged to build better robots. Algorithms and approaches in key areas of robotics and computer vision, such as map building, target tracking, action selection and landmark learning, are reviewed and cluster implementations for these are presented. The objective of the book is to give professionals working in the beowulf cluster or robotics and computer vision fields a concrete view of the strong synergy between the areas as well as to spur further fruitful exploitation of this connection. The book is written at a level appropriate for an advanced undergraduate or graduate student. The key concepts in robotics, computer vision and cluster computing are introduced before being used to make the text useful to a wide audience in these fields.

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Holdings
Item type	Home library	Collection	Call number	Materials specified	Status	Date due	Barcode
Electronic-Books	OPJGU Sonepat- Campus	E-Books EBSCO			Available

Includes bibliographical references (pages 199-206) and index.

Print version record.

In this book, we look at how cluster technology can be leveraged to build better robots. Algorithms and approaches in key areas of robotics and computer vision, such as map building, target tracking, action selection and landmark learning, are reviewed and cluster implementations for these are presented. The objective of the book is to give professionals working in the beowulf cluster or robotics and computer vision fields a concrete view of the strong synergy between the areas as well as to spur further fruitful exploitation of this connection. The book is written at a level appropriate for an advanced undergraduate or graduate student. The key concepts in robotics, computer vision and cluster computing are introduced before being used to make the text useful to a wide audience in these fields.

English.

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