Search Results for "c# slam"
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8 programs for "c# slam" with 1 filter applied:
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The 3D Toolkit provides algorithms and methods to process 3D point clouds. In includes automatic precise registration (6D simultaneous localization and mapping, 6D SLAM) and other tools, e.g., a fast 3D viewer, plane extraction software, etc.
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libRSF
A robust sensor fusion library for online localization
The libRSF is an open source C++ library that provides several components that are required to estimate the state of a (robotic) system based on probabilistic methods. By applying the factor graph concept, well known from Graph SLAM, libRSF provides a robust solution for many sensor fusion problems. The general idea of factor graphs is to describe the state estimation problem as a graph of nodes (the state variables) that are connected by factors (measurements). The resulting graph optimization... -
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SLAM++
high-performance nonlinear least squares solver for graph problems
SLAM++ is a minimalist implementation of incremental nonlinear least squares, containing lighting fast implementation of linear algebra on sparse block matrices. It is aimed for use in 3D reconstruction or robotics. -
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GraphView
Bundle Adjustment Graph Visualisation
A simple OpenGL ES viewer of Bundle Adjustment (BA) graphs. This is a tool, useful with SLAM ++. -
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Mobile Robot Programming Toolkit (MRPT)
**MOVED TO GITHUB** ==> https://github.com/MRPT/mrpt
**MOVED TO GITHUB** ==> https://github.com/MRPT/mrpt The Mobile Robot Programming Toolkit (MRPT) is an extensive, cross-platform, and open source C++ library aimed for robotics researchers to design and implement algorithms about Localization, SLAM, Navigation, computer vision. http://www.mrpt.org/ -
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This projects deals with different robotics algorithms such as motion planning (navigation) , vision SLAM, vision algorithms, and mapping.
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Simple LAN Monitor aims to develop software for providing the network traffic load trough sniffing. It's based in a server/client arquitecture. It also provides a MRTG plugin.
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SLAMSim is intended to serve as an application framework for Simultaneous Localization and Mapping (SLAM) algorithms, which address the problem of simultaneously localizing a mobile robot and building a map of its operating environment.
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