dfki-ric

dfki-ric / ground_segmentation_ros2

Public

ROS2 wrapper for the ground_segmentation library

3d-lidar autonomous-car autonomous-driving ground-detection ground-segmentation
47
1
100% credibility
Found Mar 04, 2026 at 47 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
C++
AI Summary

A ROS 2 software package that processes laser scan data from robots to separate ground points from obstacles for navigation and perception.

How It Works

1
🔍 Discover the Robot Ground Helper

You learn about a smart tool that helps robots figure out flat ground from obstacles using their distance sensors.

2
💻 Prepare Your Robot Computer

You install the basic building blocks on your Ubuntu computer to get ready for robot software.

3
📥 Bring in the Helper Tool

You add the ground segmentation software to your robot's project folder alongside its core library.

4
🔨 Build the Software

You compile everything so the helper works smoothly with your robot's system.

5
⚙️ Tune Settings for Your Robot

You adjust simple knobs like slope limits and sensor heights to match your robot's world.

6
🚀 Connect and Start It Up

You launch the tool, linking it to your robot's distance scans and optional tilt sensor for perfect alignment.

✅ Robot Navigates Safely

Your robot now receives clear maps of drivable ground and obstacles in real-time, ready for safe adventures.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 47 to 47 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is ground_segmentation_ros2?

This C++ ROS2 package wraps the GSeg3D library to segment LiDAR point clouds into ground and obstacle points in real-time, solving the challenge of reliable terrain detection for robot navigation. Feed it `sensor_msgs/PointCloud2` data (optionally synced with IMU via `sensor_msgs/Imu`), and it outputs separate ground, obstacle, and filtered raw clouds on fixed topics. Launch it easily with `ros2 launch ground_segmentation_ros2 ground_segmentation.launch.py`, tweak params like grid sizes or slope thresholds in YAML, and it handles TF transforms to your robot frame—perfect for ROS2 Humble or Jazzy on Ubuntu.

Why is it gaining traction?

Unlike basic ROS2 lidar ground segmentation tools, it delivers high-precision two-phase grid processing with IMU gravity alignment and synthetic ground injection, tuned for safety-critical use via params like `slopeThresholdDegrees` or `groundInlierThreshold`. Developers grab it from ros2 code github repos for its drop-in launch file and benchmarking mode, akin to github ros2 wrappers for Intel Realsense, ZED, or Spot—quick integration without custom ros2 github rclcpp nodes. Real-time CPU performance on diverse datasets stands out in ros2 github examples and tutorials.

Who should use this?

ROS2 navigation engineers building mobile robots with LiDAR for traversability analysis or obstacle avoidance. Autonomy teams integrating with github ros2 control or controllers, especially on rough terrain where IMU helps. Folks extending ros2 github humble stacks with perception, like pairing with YOLO ros2 wrappers or ZED ros2 wrapper docker setups.

Verdict

Solid starter for ros2 lidar ground segmentation at 44 stars, but 1.0% credibility score flags low adoption—docs and launch file are thorough, yet expect tweaks for production. Try it if you need precise ground plane fitting now; skip for battle-tested alternatives unless GSeg3D precision hooks you.

(198 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.