Result for 00291768DBA8FDE52863CC207DC7CD077D56C521

Query result

Key Value
FileName./usr/share/doc/mrpt-doc/html/struct_cmt_analog_in_data.html
FileSize5199
MD5607540840D8F8D9E247C8D9714324263
SHA-100291768DBA8FDE52863CC207DC7CD077D56C521
SHA-2568C84446065668E23BAE5119F0AF82E6CF5317975B10D892E9A25076D9B1C2AE8
SSDEEP96:5+1niwbOpqH28L7EsI67EdwI++aGZSooHyDMyhySeOYVPs:aniwbOpqH2meqEdNatJSDnES9IU
TLSHT1F8B1403458D7D237C96331E1DAA17FBBB0D08566C2021548F8FEAAEB5B58FC4D20791A
hashlookup:parent-total1
hashlookup:trust55

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The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize562444732
MD571188D458FAF5BF93F87C9C8D332F573
PackageDescriptionMobile Robot Programming Toolkit - Documentation and examples The Mobile Robot Programming Toolkit (MRPT) is an extensive, cross-platform, and open source C++ library aimed to help robotics researchers to design and implement algorithms in the fields of Simultaneous Localization and Mapping (SLAM), computer vision, and motion planning (obstacle avoidance). . The libraries include classes for easily managing 3D(6D) geometry, probability density functions (pdfs) over many predefined variables (points and poses, landmarks, maps), Bayesian inference (Kalman filters, particle filters), image processing, path planning and obstacle avoidance, 3D visualization of all kind of maps (points, occupancy grids, landmarks,...), Graph-SLAM, Bundle Adjustment, etc. Gathering, manipulating and inspecting very large robotic datasets (Rawlogs) efficiently is another goal of MRPT, supported by several classes and applications. . The MRPT is free software and is released under the BSD-new. . This package provides the documentation and examples of MRPT, and the book Writing Scientific Applications with the Mobile Robot Programming Toolkit in .ps.gz format.
PackageMaintainerJosé Luis Blanco Claraco <joseluisblancoc@gmail.com>
PackageNamemrpt-doc
PackageSectiondoc
PackageVersion1:1.5.6-1
SHA-1B8FE353EBAC23B5E646D9D10123BFE09A51B43D9
SHA-2563FAF0FDBF255C5DD632FAD4112BF634F173DC59F4BFD667484C6A315C539C6EF