This repo detect objects automatically for LiDAR data

python tensorflow keras cnn python3 lidar tkinter las laz object-detection lidar-point-cloud python-pcl laspy las2pcd

• Updated May 7, 2019
• Python

Python and C++ examples that show shows how to process 3-D Lidar data by segmenting the ground plane and finding obstacles.

visualization python c-plus-plus numpy kd-tree lidar roi clustering-algorithm bounding-boxes pcl-library downsampling-data plane-segmentation lidar-point-cloud oriented-bounding-box python-pcl ransac-algorithm

• Updated May 6, 2020
• Jupyter Notebook

This is my implementation of the 3D Pick and Place project for the Udacity Robotics Nanodegree. We perform multiple processes to segment a point cloud into its object components and use scikit-learn to do object recognition. A PR2 robot then performs a pick and place operation on the recognized objects in simulation with ROS and Gazebo.

python robotics scikit-learn point-cloud ros gazebo pcl python-pcl

• Updated Jan 6, 2018
• C++

This project contains several Python scripts that extract the most important features of a given point cloud.

pcl ransac python-pcl

• Updated Aug 22, 2022
• Python

Transform your MacBook with a lid-angle desktop blur effect and fixed-angle view, keeping apps clickable as you close the lid.

python plane mcp numpy kd-tree lidar ransac pcl-library downsampling-data plane-segmentation lidar-point-cloud oriented-bounding-box python-pcl ransac-algorithm lidar-camera-fusion extrinsic-calibration genesis-conductor igor-holt

• Updated Oct 13, 2026
• Swift