Search Results for "slam software"
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Showing 15 open source projects for "slam software"
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Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
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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... -
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BTS-SIO-SLAM-CYBER-INTERVENTION
Cybersecurity intervention for BTS SIO SLAM
You will find all the files to prepare a security intervention in a BTS SIO (SLAM - development part). This training aims to highlight the role of the developer in cybersecurity. Different software vulnerabilities are presented as well as the good practices that allow limiting them. To this goal, some aspects of a secure system design are addressed. Informations and documentation are here: https://sourceforge.net/p/bts-sio-slam-cyberintervention/wiki/Home/. -
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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 limit... -
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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). The main feature is efficiency. Low computational effort and low memory usage whenever possible. The minimum viable computer to run our... -
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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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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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gradslam
gradslam is an open source differentiable dense SLAM library
gradslam is an open-source framework providing differentiable building blocks for simultaneous localization and mapping (SLAM) systems. We enable the usage of dense SLAM subsystems from the comfort of PyTorch. The question of “representation” is central in the context of dense simultaneous localization and mapping (SLAM). Newer learning-based approaches have the potential to leverage data or task performance to directly inform the choice of representation. However, learning representations... -
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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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SGA Conversion and Analysis Tool
Convert SGA format multimedia files to PNG and AVI format
This program is a utility for viewing, analyzing, and converting the data in SGA format multimedia files used by Digital Pictures in their games for the Sega Mega CD, Sega Super 32X, Sega Saturn, 3DO video game systems, and Windows PCs into formats that can be read by media player software on modern PCs. -
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Swing Java Application manages software requirements and associated functional tests, including results, showing requirements/tests traceability at all time. Requirements and tests are formatted as in text processor; print-ready documents are generated.
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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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Simultaneous localization and map building (SLAM) software, using extended Kalman filter (EKF) and features approach.
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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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