Stars
Trust-region subproblem solver for the SLIP algorithm in 1D
GLIM: versatile and extensible point cloud-based 3D localization and mapping framework
Traversable ground and above-ground object segmentation using graph representation of 3D LiDAR scans
C++ API wrapper for displaying shapes and meshes in Rviz
TARE Exploration Planner for Ground Vehicles
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m…
Pannellum is a lightweight, free, and open source panorama viewer for the web.
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
Python package for the evaluation of odometry and SLAM
image_projection is a ROS package to create various projections from multiple calibrated cameras.
The Time Series Visualization Tool that you deserve.
hector_slam contains ROS packages related to performing SLAM in unstructed environments like those encountered in the Urban Search and Rescue (USAR) scenarios of the RoboCup Rescue competition.
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
Open3D: A Modern Library for 3D Data Processing
Provides ROS integration for Cartographer.
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++