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Robot control / Summary statistics / Linear filters / Kalman filter / Covariance matrix / Covariance / Cholesky decomposition / Normal distribution / Variance / Statistics / Data analysis / Covariance and correlation


Covariance Recovery from a Square Root Information Matrix for Data Association Michael Kaess CSAIL, Massachusetts Institute of Technology, 32 Vassar St., Cambridge, MA[removed]Frank Dellaert College of Computing, Georgia I
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Document Date: 2012-03-26 23:43:16

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File Size: 2,63 MB

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City

Atlanta / Cambridge / /

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Facility

Frank Dellaert College of Computing / Georgia Institute of Technology / Massachusetts Institute of Technology / /

IndustryTerm

iSAM estimation algorithm / mobile robot applications / large search region / partial sparse matrix inversion algorithm / search region / dynamic programming algorithm / active search / correct solution / search space / improved marginal covariance recovery algorithm / largescale applications / bound algorithm / /

Organization

Compatibility Branch and Bound / Abstract Data association / Introduction Data association / Georgia Institute of Technology / NN / Frank Dellaert College of Computing / Massachusetts Institute of Technology / Data Association / /

Person

Sydney Victoria Park / Michael Kaess / Frank Dellaert / /

Position

RT / back-substitution RT / /

ProgrammingLanguage

ML / /

ProvinceOrState

Georgia / Massachusetts / /

Technology

dynamic algorithm / JCBB algorithm / laser / improved marginal covariance recovery algorithm / underlying iSAM estimation algorithm / SLAM algorithms / partial sparse matrix inversion algorithm / RANSAC algorithm / laptop computer / dynamic programming algorithm / improved algorithm / random access / /

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