A C++ library for fast ground segmentation from LiDAR point clouds using the line-fit algorithm.
linefit_ground_segmentation is a C++ library that implements a fast ground segmentation algorithm for 3D LiDAR point clouds, specifically designed for autonomous ground vehicles. It separates ground points from obstacles by fitting lines within radial segments, enabling real-time perception for navigation and mapping. The algorithm is based on the 2010 paper by Himmelsbach et al. and includes a ROS interface for robotic systems.
Robotics engineers and researchers working on autonomous vehicles, drones, or mobile robots that use LiDAR for perception and need real-time ground plane estimation.
It provides a proven, efficient algorithm with practical ROS integration, allowing developers to quickly deploy ground segmentation without implementing the algorithm from scratch. The configurable parameters make it adaptable to different sensors like the KITTI Velodyne and various robotic platforms.
Ground Segmentation from Lidar Point Clouds
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Implements the well-cited Himmelsbach et al. 2010 paper, ensuring a reliable foundation for ground segmentation tested in autonomous vehicle contexts, as referenced in the README.
Includes a dedicated ROS package with launch files and parameter configurations, making deployment straightforward for robotic systems, as shown in the segmentation.launch instructions and separate ROS interface.
Supports multi-threading with configurable thread counts and segmentation parameters, allowing optimization for different hardware and sensor setups, highlighted by the n_threads and segmentation range settings.
Offers optional rotation into gravity-aligned frames, improving accuracy on uneven terrain by accounting for sensor orientation, as specified in the gravity_aligned_frame parameter description.
The algorithm fails without accurate sensor_height input, requiring prior knowledge or calibration, which is explicitly stated in the README as a critical adjustment for proper operation.
While the library can be compiled separately, the primary interface and ease of use are tied to ROS, limiting accessibility for non-ROS projects and adding complexity for standalone C++ applications.
Numerous parameters like max_slope and line_search_angle need careful tuning for different environments, which can be time-consuming and error-prone without expertise, as admitted in the parameter description section.