Search Results for "map"
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Showing 8 open source projects for "map"
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Robotics Toolbox for MATLAB
Robotics Toolbox for MATLAB
...The toolbox also supports mobile robots with functions for robot motion models (unicycle, bicycle), path planning algorithms (bug, distance transform, D*, PRM), kinodynamic planning (lattice, RRT), localization (EKF, particle filter), map building (EKF) and simultaneous localization and mapping (EKF), and a Simulink model a of non-holonomic vehicle. The Toolbox also includes a detailed Simulink model for a quadrotor flying robot. -
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OSDLab
Open Source Digital Laboratory
...This software consists from C++/Qt programs such as dotScope (https://dotscope.sourceforge.io) - is a scientific shell for live experiment, dlCAM (https://dlcam.sourceforge.io) - computer aided manufacture for Arduino and others projects, img-map (https://img-map.sourceforge.io) - image digitaizer. -
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PyRoboSim2D
Python+Pygame robot simulator 2D
...(www.pygame.org) Download the .py file and two .bmp files: -->back2_800_600 for background -->any of the robo1.bmp through robo4.bmp for robot image (different colors). The map of the "room" can be changed by modifying the list of obstacles. Read more in ReadMe.txt and in the .py file comments. -
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The library OpenMMM is intended for scientists and engineers who need to handle a variety types of motions and (biomechanical) models.
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A simple A star path finding library in C++ An exemple of the result of a pqthfinding in a map is given.
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A collection of Matlab functions and scripts for computing the saliency map for an image, for determining the extent of a proto-object, and for serially scanning the image with the focus of attention.
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MapManager is an open-source library for the creation, manipulation, analysis and translation of maps in use with mobile robotics simulators. It's primary focus is enabling interoperability between as many map formats as possible.
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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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