Python and C++ examples that show shows how to process 3-D Lidar data by segmenting the ground plane and finding obstacles.
-
Updated
May 6, 2020 - Jupyter Notebook
Python and C++ examples that show shows how to process 3-D Lidar data by segmenting the ground plane and finding obstacles.
The C++ implementation of Multi-H algorithm, which is a multi-plane fitting technique. If you use this work for Academic purposes, please cite Barath, D. and Matas, J. and Hajder, L., Multi-H: Efficient Recovery of Tangent Planes in Stereo Images. 27th British Machine Vision Conference, 2016
ROS Wrapper of CAPE Plane and Cylinder Extraction
Transform your MacBook with a lid-angle desktop blur effect and fixed-angle view, keeping apps clickable as you close the lid.
To associate your repository with the plane-segmentation topic, visit your repo's landing page and select "manage topics."