Search Results for "c# slam"
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Showing 21 open source projects for "c# slam"
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Isaac ROS Visual SLAM
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
Discover a faster, easier way to build advanced AI robotics applications with the NVIDIA Isaac™ ROS collection of accelerated computing packages and AI models, bringing NVIDIA acceleration to ROS developers everywhere. Isaac ROS Visual SLAM provides a high-performance, best-in-class ROS 2 package for VSLAM (visual simultaneous localization and mapping). This package uses one or more stereo cameras and optionally an IMU to estimate odometry as an input to navigation. It is GPU-accelerated to... -
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lidarslam_ros2
ROS 2 package of 3D lidar slam using ndt/gicp registration
ROS 2 package of 3D lidar slam using ndt/gicp registration and pose-optimization. ros2 slam package of the frontend using OpenMP-boosted gicp/ndt scan matching and the backend using graph-based slam. -
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rtabmap
RTAB-Map library and standalone application
RTAB-Map (Real-Time Appearance-Based Mapping) is a RGB-D, Stereo and Lidar Graph-Based SLAM approach based on an incremental appearance-based loop closure detector. The loop closure detector uses a bag-of-words approach to determine how likely a new image comes from a previous location or a new location. When a loop closure hypothesis is accepted, a new constraint is added to the map’s graph, then a graph optimizer minimizes the errors in the map. A memory management approach is used to... -
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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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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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LaMa
LaMa - A Localization and Mapping library
LaMa is a C++11 software library for robotic localization and mapping developed at the Intelligent Robotics and Systems (IRIS) Laboratory at the University of Aveiro - Portugal. It includes a framework for 3D volumetric grids (for mapping), a localization algorithm based on scan matching, and two SLAM solutions (an Online SLAM and a Particle Filter SLAM). -
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Cartographer
Cartographer is a system that provides real-time localization
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations. -
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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). -
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Kimera-VIO
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation. Kimera-VIO is a Visual Inertial Odometry pipeline for accurate State Estimation from Stereo + IMU data. It can optionally use Mono + IMU data instead of stereo cameras. -
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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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Beat em' up game
A 2D beat em'up protoype written using the Java programming language
...Controls: Use the arrow keys to move, space to attack, 'j' to jump, and left shift to fire batarangs. You can jump kick with 'j' and then space. If you walk into an enemy you will grapple them. Continue to hit space to attack them, or press 'c' to slam them into the wall. 'i' is available to reset the your combos as a debug option. Notes: This is a prototype for a hobbyist game project, which I used to learn how to build games. It was undertaken before I enrolled in Gamercamp. James Kitchen -
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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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SmartSLAM is an open source C++ library for SLAM (Simultaneous Localization and Mapping) algorithms in robotics based on probabilistic methods.
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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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!!! This project has been moved to https://github.com/Xenoage/Bolzplatz2006 !!! Our current project is called "Bolzplatz 2006" (English title "Slam Soccer 2006", French title "Coup de Fout 2006"). It's a freeware 3D-soccer-game in comic-style and a funny allusion to the World Cup 2006 in Germany.
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Simultaneous localization and map building (SLAM) software, using extended Kalman filter (EKF) and features approach.
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A complete cleanup (for readability and ease of coding) and doccumentation of the original SMAUG 1.4a codebase, SLAM-GTP is also a minor re-write, bringing new features to the codebase, while also fixing and/or adding functionality to existing ones.
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Firmware upgrade for the Linksys WRT54GS router. The goal of this project is to combine several branches of firmware modifications with additional programs/utilities (starting with Snort) while keeping the look, feel and useability of the original.
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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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