GitHub repository
A real-time ROS 2 package for detecting drivable roads and sidewalks from LIDAR point clouds in urban autonomous driving scenarios.
What is GitHub repository?
Urban Road Filter is a real-time LIDAR perception algorithm for autonomous vehicles that detects drivable roads, sidewalks, and curbs in urban environments. It processes 3D point cloud data to segment navigable surfaces, solving the critical problem of understanding road geometry for safe vehicle navigation. The algorithm is implemented as a ROS 2 package with multiple configurable detection methods.
Autonomous vehicle researchers and engineers working on perception stacks, particularly those using ROS 2 and LIDAR sensors for urban navigation. Robotics students and developers implementing ground segmentation algorithms for mobile robots.
Developers choose Urban Road Filter for its real-time performance, multiple detection algorithms for robustness, and seamless ROS 2 integration. It provides a practical, research-backed alternative to existing ground segmentation packages with configurable parameters for different urban scenarios.
Overview
Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗
Use Cases
Best For
- Real-time road surface detection for autonomous vehicle navigation
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