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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




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 | #6395802 in Books |  2010-11-18 |  2010-11-18 | Original language:English | PDF # 1 |  9.00 x.32 x6.00l,.44 | 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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