Result for 005A8F2CEA2BB73F31B6224C37BCDD68F2109314

Query result

Key Value
FileName./usr/share/doc/mrpt-doc/html/classmrpt_1_1maps_1_1_c_beacon_map.html
FileSize164687
MD5B3F19FEC9270A9F1125242580F43DAE3
SHA-1005A8F2CEA2BB73F31B6224C37BCDD68F2109314
SHA-2567D416C76166263F6D14ACA52A2C30677A5554BEC97E5DAF160F7F63544BD1416
SSDEEP1536:eErsdkkOnAW51TUD4vNvaKmVfqRHdFMHqoxIp4IaglPsQwbmv1Luy/1aQbMCUPfr:BsdkkOAW51TUD4vNBV1P1kCgAEprDS1K
TLSHT1FDF31D1454E363B3C5D331E296097FA776E04176F2925860F8FE6AFA0F09DC9E25342A
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
FileSize60265288
MD580A60457F37EAA26BDF64B590896E4EE
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.
PackageMaintainerJose Luis Blanco (University of Malaga) <joseluisblancoc@gmail.com>
PackageNamemrpt-doc
PackageSectiondoc
PackageVersion1:1.4.0-7
SHA-11BCD6ACA31CAD66CA8A2373932817888AD51E8BC
SHA-256F628CD2852B73E3B1BDA678929335EFDF679356E40FA994A8F3AD5533F10F756