Result for 002EDBF33C1A66FEADA38F5DBCB1474B8F600043

Query result

Key Value
FileName./usr/share/doc/mrpt-doc/html/classmrpt_1_1poses_1_1_c_pose3_d_quat_p_d_f.html
FileSize143147
MD59EFA7D7329A005182673DE17B259FE59
SHA-1002EDBF33C1A66FEADA38F5DBCB1474B8F600043
SHA-25603F746B6D07625D60D06E92AC142DA64B247627290BE1BC173CBED61459CC5C9
SSDEEP1536:w+Uwop+3X3o0nVzB90ZjQg6lixCeuxlyMczNbflSnDEjnHQS66LGVp4UZFSQLAYB:l1IIZI3Kp9xht
TLSHT166E33F1841E366F7C2D332B64B5EBB6A75E10662F1C15570F6FD1EE21B40E89F3A201A
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

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
FileSize65176598
MD5BC9CA2E5D3003CCA0B474EF4DB1AB327
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 GPL. . 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamemrpt-doc
PackageSectiondoc
PackageVersion1:1.3.2-1
SHA-171BF062F8C466F0A9EBFF000CB458C670B5A81F0
SHA-256575B75F14A9E53E2D2D4ABBBDDA84636FAC63C9185A1826F912A47105FBED0A0