Parents (Total: 18)

The searched file hash is included in 18 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	1EB1EB324CE2FC57091836262C1D599F
PackageArch	x86_64
PackageDescription	2d-slam-demo is a GUI application which allows the user to run a Extended Kalman Filter (EKF) implementation of range-bearing 2D SLAM in step-by-step or continuous mode. Graphs are shown for the observations, data association, etc.
PackageMaintainer	Fedora Project
PackageName	mrpt-2d-slam
PackageRelease	25.fc34
PackageVersion	1.4.0
SHA-1	0667E1AA8CC9D795ACB46D597EA8C75B13286761
SHA-256	1A730429224B10EA370CC35A014A6457F6E2F7183F8BF988E4FE4C0C197F432A

Key	Value
MD5	4D8528E570CC8F6B45051D11BF6514DB
PackageArch	aarch64
PackageDescription	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). This package provides a set of console and GUI applications for manipulating datasets, particle filtering localization and SLAM, grabbing data from robotic sensors, etc.
PackageMaintainer	Fedora Project
PackageName	mrpt-apps
PackageRelease	25.fc34
PackageVersion	1.4.0
SHA-1	10F989E77907B8CB5F082279EDE384D69825CFCE
SHA-256	2EC935CD9ADAC6034625CC149E840846F20AD60D263D2D02D2B391899B92E855

Key	Value
MD5	5A8EE4858F7964D5182E8FA18EF39626
PackageArch	x86_64
PackageDescription	2d-slam-demo is a GUI application which allows the user to run a Extended Kalman Filter (EKF) implementation of range-bearing 2D SLAM in step-by-step or continuous mode. Graphs are shown for the observations, data association, etc.
PackageMaintainer	Fedora Project
PackageName	mrpt-2d-slam
PackageRelease	21.fc33
PackageVersion	1.4.0
SHA-1	1740D454211CC31D87AE82ED281D3B73E231C12E
SHA-256	66A65B3F69988DB7021151D3C93FAE9702C1C12B5B73722C626B4BDC60587D8F

Key	Value
MD5	95E4DA91A983C0131175B7AA816A63AC
PackageArch	armv7hl
PackageDescription	2d-slam-demo is a GUI application which allows the user to run a Extended Kalman Filter (EKF) implementation of range-bearing 2D SLAM in step-by-step or continuous mode. Graphs are shown for the observations, data association, etc.
PackageMaintainer	Fedora Project
PackageName	mrpt-2d-slam
PackageRelease	25.fc34
PackageVersion	1.4.0
SHA-1	1BA97272F13D50D51AF625079AFAF3737792DF44
SHA-256	FE6904F83097F86389A6E215D14057F4FA464ACF76665943851C3FEFCFDFFA6B

Key	Value
MD5	FB68BCC97C0F46B116B84B2F4CBD044A
PackageArch	x86_64
PackageDescription	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). This package provides a set of console and GUI applications for manipulating datasets, particle filtering localization and SLAM, grabbing data from robotic sensors, etc.
PackageMaintainer	Fedora Project
PackageName	mrpt-apps
PackageRelease	25.fc34
PackageVersion	1.4.0
SHA-1	302A563D787C2B7E9D470A597A9FF2E4826432F0
SHA-256	8E966357AB709C6CDFEC22CC9BC226D40CD2279B9B15A1B4F14D62AA29488914

Key	Value
MD5	1314739D5720101E60C636E8715EFFE0
PackageArch	aarch64
PackageDescription	2d-slam-demo is a GUI application which allows the user to run a Extended Kalman Filter (EKF) implementation of range-bearing 2D SLAM in step-by-step or continuous mode. Graphs are shown for the observations, data association, etc.
PackageMaintainer	Fedora Project
PackageName	mrpt-2d-slam
PackageRelease	25.fc34
PackageVersion	1.4.0
SHA-1	350C9DCA08AB5A4E4480BB4497FDDCDE84615135
SHA-256	3A63CE64A3A9F3CCFFEE0ACDEC9C6FC70E73E85D2BE3BA0BFF17399DA0E6C856

Key	Value
MD5	831A1C1A88B6FF95D29C77FC43DBA7CE
PackageArch	aarch64
PackageDescription	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). This package provides a set of console and GUI applications for manipulating datasets, particle filtering localization and SLAM, grabbing data from robotic sensors, etc.
PackageMaintainer	Fedora Project
PackageName	mrpt-apps
PackageRelease	17.fc32
PackageVersion	1.4.0
SHA-1	4A289DFD4AF755615B1ABEE47A421E60DA8FB4FF
SHA-256	E6A748E2652BE884FEE748446A499C558CD729695073F004F0A3BFB9EEB8E7C7

Key	Value
MD5	479603C99365FBD850280D86DE4FAD17
PackageArch	aarch64
PackageDescription	2d-slam-demo is a GUI application which allows the user to run a Extended Kalman Filter (EKF) implementation of range-bearing 2D SLAM in step-by-step or continuous mode. Graphs are shown for the observations, data association, etc.
PackageMaintainer	Fedora Project
PackageName	mrpt-2d-slam
PackageRelease	17.fc32
PackageVersion	1.4.0
SHA-1	7679FA8567CAD3FD7D712728F6751365B530E9C7
SHA-256	54F8763BD497B5BC292F8BA863940B3E211F90A5CA05A428DD2DE660FD321C79

Key	Value
MD5	4D5A91441278E5EA13F17BDF4D1AAFE8
PackageArch	armv7hl
PackageDescription	2d-slam-demo is a GUI application which allows the user to run a Extended Kalman Filter (EKF) implementation of range-bearing 2D SLAM in step-by-step or continuous mode. Graphs are shown for the observations, data association, etc.
PackageMaintainer	Fedora Project
PackageName	mrpt-2d-slam
PackageRelease	21.fc33
PackageVersion	1.4.0
SHA-1	8AA3B1BA6AA8E3450301D28C93E0946D01427E1D
SHA-256	29DB5A4AA90822EF0724C53413D385B6EA57054AC26D7BE576046461EBD443F0

Key	Value
MD5	812DBB19634E2CFC603C77A72562BC9B
PackageArch	aarch64
PackageDescription	2d-slam-demo is a GUI application which allows the user to run a Extended Kalman Filter (EKF) implementation of range-bearing 2D SLAM in step-by-step or continuous mode. Graphs are shown for the observations, data association, etc.
PackageMaintainer	Fedora Project
PackageName	mrpt-2d-slam
PackageRelease	21.fc33
PackageVersion	1.4.0
SHA-1	921154DCADABF7E0B3003361C79E3A93BBABDFB8
SHA-256	3B3B4307244BB6177D586F7BA18C8E50FAD20CC6F9993BCD51CF8E368BB92977