[PDF.87cs] Robust Localization and Mapping for Mobile Robotic Navigation: Theory, Algorithm and Implementation

Robust Localization and Mapping for Mobile Robotic Navigation: Theory, Algorithm and Implementation

[PDF.hh01] Robust Localization and Mapping for Mobile Robotic Navigation: Theory, Algorithm and Implementation

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 | #11962472 in Books |  2014-04-30 |  2014-04-30 | Original language:English | PDF # 1 |  8.66 x.30 x5.91l,.45 | File type: PDF | 132 pages

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||About the Author|Jingchun YIN, after graduation in Mechanical Eng. and Automation from Qingdao University (P.R.China) in 2007, he obtained Master's degree in Robotics from State Key Laboratory of Robotics and System, Harbin Institute of Technology (P.R.China) in

How can mobile robot navigate autonomously without the knowledge of its own state of pose and the model of the surrounding environment? Simultaneous Localization and Mapping (SLAM) is the mobile robot's significant and critical perceptual capability to achieve autonomous navigation, and it is applied in a wide range of application fields. Graph-based SLAM constructs a hierarchical topological graph to address the issues of localization and mapping, where the local...

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