[PDF.50oa] FastSLAM: A Scalable Method for the Simultaneous Localization and Mapping Problem in Robotics (Springer Tracts in Advanced Robotics)
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FastSLAM: A Scalable Method for the Simultaneous Localization and Mapping Problem in Robotics (Springer Tracts in Advanced Robotics)
Michael Montemerlo, Sebastian Thrun
[PDF.iz04] FastSLAM: A Scalable Method for the Simultaneous Localization and Mapping Problem in Robotics (Springer Tracts in Advanced Robotics)
FastSLAM: A Scalable Method Michael Montemerlo, Sebastian Thrun epub FastSLAM: A Scalable Method Michael Montemerlo, Sebastian Thrun pdf download FastSLAM: A Scalable Method Michael Montemerlo, Sebastian Thrun pdf file FastSLAM: A Scalable Method Michael Montemerlo, Sebastian Thrun audiobook FastSLAM: A Scalable Method Michael Montemerlo, Sebastian Thrun book review FastSLAM: A Scalable Method Michael Montemerlo, Sebastian Thrun summary
| #4878153 in Books | 2007-03-05 | Original language:English | PDF # 1 | 9.40 x.40 x6.20l,.85 | File type: PDF | 120 pages||1 of 47 people found the following review helpful.| Disappointed with and DHL|By André|Although I paid more for express purchase, and I have already paid for the book, I still have not received the book. DHL sends me notification messages saying that the product is in transit. I m very disappointed.Over the past few years, I've done several purchases by and this has never happened before.|From the Back Cover||This monograph describes a new family of algorithms for the simultaneous localization and mapping problem in robotics (SLAM). SLAM addresses the problem of acquiring an environment map with a roving robot, while simultaneously localizing the
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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