Ros
Showing 36 of 253 projects
A ROS package for visualizing motion plans, support areas, contact forces, and trajectories for legged robots in RVIZ.
Python ROS Bridge library
An event-driven, asynchronous, behavioral state machine library for real-time ROS applications written in C++.
RVizWeb brings the ROS visualization tool RViz to the browser, enabling web-based 3D robot data visualization.
A Python library for loading, manipulating, saving, and visualizing URDF (Unified Robot Description Format) files.
A Python library for converting ROS messages to and from NumPy arrays, enabling efficient data manipulation in robotics.
A ROS driver for TI mmWave radar sensors with sensor fusion, multi-radar support, and camera overlay capabilities.
A ROS-based dataset and tools for autonomous vehicle development with seasonal multi-sensor data from Ford vehicles.
Automated setup and configuration script for NVIDIA Jetson boards, handling updates, kernel patches, ROS installation, and performance tuning.
Easy continuous integration repository for ROS repositories
An rqt plugin for creating and editing camera trajectories in RViz and recording videos of the views.
A Unity plugin for creating Lanelet2 vector maps for the Autoware autonomous driving platform.
A deprecated ROS stack for multi-master communication and GUI-based node management, now replaced by the multi-agent suite.
A ROS stack providing perception packages for 2D image and 3D point cloud processing in robotics.
A ROS-based system for robot localization and mapping using ceiling or floor-mounted fiducial markers.
ROS driver and configuration for MiR autonomous mobile robots, enabling simulation and control via the Robot Operating System.
Converts KITTI autonomous driving dataset raw data to ROS bags and provides a C++ library for direct data access.
A C++ library implementing steering functions for car-like robots with limited turning radius, including Dubins, Reeds-Shepp, and continuous curvature variants.
A ROS wrapper for libviso2, enabling visual odometry for monocular and omnidirectional camera systems in robotics.
ROS package for sensor processing, object detection, tracking, and evaluation using the KITTI Vision Benchmark dataset.
A ROS package extension for ORB-SLAM2 that enables saving and loading ORB feature maps for closed-circuit visual localization of autonomous vehicles.
A long-term autonomous driving dataset from Europe with multi-sensor data (GPS-RTK, LiDAR, cameras, IMU) for localization and mapping research.
An open-source archive for robot vulnerabilities and bugs, using a robot-specific scoring system.
A real-time object-level reconstruction system for 6D pose estimation using volumetric fusion and multi-object reasoning.
A desktop tool for viewing, editing, and saving road network maps for autonomous vehicle platforms like Autoware.
A C++ library with Python bindings for robotic motion planning and decision making, integrated with DART and OMPL.
A recursive B-spline-based state estimation framework for 6-DoF LiDAR odometry, supporting LiDAR-only, LiDAR-inertial, and multi-LiDAR configurations.
ROS extensions and implementations for the PyTrees behavior tree library, enabling modular robot behavior design.
ROS package providing helper functions to launch roslaunch processes on Ubuntu system startup.
A deprecated tool that automated cross-compilation of ROS and ROS2 workspaces for ARM and x86 architectures using Docker and QEmu.
A ROS node launcher and monitoring daemon that replaces roslaunch with enhanced process monitoring capabilities.
A tool for calibrating event cameras by converting event data to images and using standard image-based calibration toolboxes.
Static analysis framework for ROS1 applications to detect software problems early in development.
A simulation-based deep learning approach to enhance the resolution of 3D lidar point clouds for ground vehicles.
ROS nodes for reading point clouds from files (PLY, VTK) and writing sensor_msgs/PointCloud2 messages to files.
A ROS library for robust plane segmentation from LIDAR, depth camera data, and elevation maps using normal-based clustering.
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