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amcl3d

Adaptive Monte Carlo Localization (AMCL) in 3D.

amcl_3d

autoware

Open-source software for self-driving vehicles

cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

easy_handeye

Simple, straighforward ROS library for hand-eye calibration

examples

Example packages for ROS2

floam_ssl

Fast LOAM (Lidar Odometry And Mapping) for solid state lidar indoor localization and mapping (Intel Realsense L515 as an example)

gobot

Golang framework for robotics, drones, and the Internet of Things (IoT)

hdl_localization

Real-time 3D localization using a (velodyne) 3D LIDAR

humanoid_navigation

ROS metapackages with footstep planning and localization for humanoid robots

iris

kitti2bag

Convert KITTI dataset to ROS bag file the easy way!

lanelet2

Map handling framework for automated driving

mcl_3dl

A ROS node to perform a probabilistic 3-D/6-DOF localization system for mobile robots with 3-D LIDAR(s). It implements pointcloud based Monte Carlo localization that uses a reference pointcloud as a map.

navigation2

ROS2 Navigation https://ros-planning.github.io/navigation2/

rclcpp

rclcpp (ROS Client Library for C++)

rclpy

rclpy (ROS Client Library for Python)

ros2_rust

Rust bindings for ROS2

ros2cli

ROS 2 command line interface tools

slam_gmapping

Slam Gmapping for ROS2

slam_toolbox

Slam Toolbox for lifelong mapping and localization in potentially massive maps with ROS