FastSLAM - A Scalable Method for the Simultaneous Localization and Mapping Problem in Robotics (Hardcover, 2007 ed.)
Michael Montemerlo, Sebastian ThrunThis monograph describes a new family of algorithms for the simultaneous localization and mapping (SLAM) problem in robotics, called FastSLAM. The FastSLAM-type algorithms have enabled robots to acquire maps of unprecedented size and accuracy, in a number of robot application domains and have been successfully applied in different dynamic environments, including a solution to the problem of people tracking.
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Product Description
This monograph describes a new family of algorithms for the simultaneous localization and mapping (SLAM) problem in robotics, called FastSLAM. The FastSLAM-type algorithms have enabled robots to acquire maps of unprecedented size and accuracy, in a number of robot application domains and have been successfully applied in different dynamic environments, including a solution to the problem of people tracking.
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Product Details
General
Imprint | Springer-Verlag |
Country of origin | Germany |
Series | Springer Tracts in Advanced Robotics, 27 |
Release date | 2007 |
Availability | Expected to ship within 10 - 15 working days |
First published | 2007 |
Authors | Michael Montemerlo, Sebastian Thrun |
Dimensions | 235 x 155 x 10mm (L x W x T) |
Format | Hardcover |
Pages | 120 |
Edition | 2007 ed. |
ISBN-13 | 978-3-540-46399-3 |
Barcode | 9783540463993 |
Categories | |
LSN | 3-540-46399-2 |
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