This repo detect objects automatically for LiDAR data

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

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.

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