Result for 001EC41310E091266659F475FDD8CB4DB2423852

Query result

Key Value
FileName./usr/share/doc/mrpt-doc/html/_c_observation_robot_pose_8cpp.html
FileSize7605
MD50B04D81852E98DD746FDC5D9CE5A44AB
SHA-1001EC41310E091266659F475FDD8CB4DB2423852
SHA-2560900F7F8FC2FB03773F55A1CD3AD7A583E560C868AF65EC4D58300B6F4E000D8
SSDEEP96:5+8niwbOmm/5VTvL80xVnfkj8Q20wDQV26Iovzjv28mEUIEEXy/KAjk/LVPs:fniwbOnxWjR9MQVZzjvfmEU5SyoU
TLSHT170F1DE455524EF6BAC0A15F8D2EC2E4775A59771A3980C10B2C0FD398CC2FE8EE1A393
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