Provides ROS integration for Cartographer.

Autonomous exploration for ROS 2, featuring two algorithms: Wanderer (heuristic-based) and Discoverer (frontier-based, efficient for large maps). Mapping is handled by Google Cartographer (SLAM) and navigation by Nav2. Simulation runs in Gazebo with TurtleBot3 and with a custom CSV-based map generation.

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ROS package for D*+ 2D and 3D path planner, using cartographer and octomap as maps respectively.

Implement basic motion planning in cartographer submaps without using whole grid

Set of ROS parameter files and scripts to launch Cartographer SLAM

Use google cartographer 2D SLAM without ROS. 在非ROS环境下使用cartographer进行2D激光SLAM的测试。

Shell script for installing cartographer_ros

使用Gazebo仿真和ros的navigation栈实现了二轮差速小车的建图导航和避障，并添加了cartographer纯定位的使用和基于图像匹配的重定位功能。

基于cartgrapher和fishros，仓库在ros2humble中实现了手持雷达制图。简而言之，只需要雷达发布/scan主题，而不需要/odom就可以实现地图的构建。大部分参数都调整过了。它已经成功地在多个雷达上进行了测试。

Using YDLIDAR X2 with Google Cartographer ROS package

simplify cartographer interface, support using ros or not(cartographer 算法的极度简化接口实现，能自行修改选择是否使用ros)

Framework using Docker, ROS, and Nimbro Network for simulating isolated robots on cloud with Google Cartographer SLAM

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在ROS环境下进行机器人建图导航(Cartographer+Movebase)、目标检测（Nanodet)、语音播报和语音导航任务发布(Sherpa_onnx)。

背景：为打造智能化病房环境，将现有机器人技术融入到病房中，完成医院护工人员的相关工作，节约人力成本； 工作：开发手机APP智能化调度机器人，搭建Ubuntu和ROS Kinetic环境，搭建底盘运动模块和运动学模型；对gmapping、cartographer等建图算法进行优化测试，利用A*和DWA算法解决护理床路径规划和动态避障； 效果：满足设计的要求，完成路径规划和动态避障调试，实现了移动机器人的单目标、多目标、巡逻等功能 。

Implementation of Cartographer SLAM on a ROS based ArduCopter UAV

用CLion+Cmake同时管理cartographer和cartographer_ros，实现对carto的编译、debug单步调试

ROS landmark list publisher that was converted from apriltag_ros/AprilTagDetectionArray for cartographer_ros landmark topic

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Cartographer ROS on KITTI dataset (2D and 3D)

Cartographer library use WITHOUT ROS

This repo is forked from cartographer_ros, and modified for rplidar.

SLAM of F1TENTH Racecar with Cartographer in ROS2 environment

Final year thesis project on implementation of google cartographer to develop a map of the IIT Delhi campus road using 3D point cloud data

基于 ROS Noetic 的全自主移动机器人导航系统。集成 EKF 多传感器融合、Cartographer 图优化建图、TEB 倒车轨迹优化及 Python 状态机调度，实现复杂环境下的高速竞速与厘米级倒车入库。

Combined cartographer and cartographer_ros repositories

ROS2(foxy) rclpy osm cartographer package

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