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g2o: A General Framework for Graph Optimization Rainer K¨ummerle Giorgio Grisetti Hauke Strasdat
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Document Date: 2011-02-09 03:49:00

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Victoria / Venice / /

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W. Press / rif Co / M. Kaess SPA / Intel / Sparse Linear Systems / Intelligent Transportation Systems / /

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Square Root SAM / Dataset Victoria Grid5000 New College / University of Rome / Dataset Intel MIT Manhattan3500 Victoria Grid5000 Sphere Garage New College / Willow Garage / Stanford University / New College / Dataset Intel MIT Manhattan3500 Victoria Grid5000 Sphere Garage / Imperial College / University of Freiburg / /

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large systems / problem-specific algorithms / direct solution / Online processing / online 2d / on-line learning / large sparse pose constraint systems / multilevel relaxation algorithm / online systems / linear systems / numerical solution / /

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Lie / Killian Court / University of Rome / Imperial College London / MIT / Stanford University / Cambridge Univ. / European Commission / Dataset Victoria Grid5000 New College Venice / Department of Computing / Intel Research Lab / University of Freiburg / New College / /

Person

Churchill / Giorgio Grisetti Hauke Strasdat Kurt / Hauke Strasdat Kurt Konolige Trajectory / /

Position

Professor / General / /

Product

g2 / /

ProgrammingLanguage

L / C / K / C++ / /

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Stanford University / /

Technology

laser / Gauss-Newton algorithm / Machine Vision / 3-d / 2D SLAM algorithm / LM algorithm / Dom / LM algorithms / same algorithm / problem-specific algorithms / multilevel relaxation algorithm / /

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http /

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