PythonRobotics
Table of Contents
Getting Started
Introduction
Localization
Mapping
Gaussian grid map
Normal Distance Transform (NDT) map
Ray casting grid map
Lidar to grid map
Point cloud Sampling
k-means object clustering
Object shape recognition using circle fitting
Object shape recognition using rectangle fitting
Normal vector estimation
Distance Map
SLAM
Path Planning
Path Tracking
Arm Navigation
Aerial Navigation
Bipedal
Inverted Pendulum
Utilities
Appendix
PythonRobotics
Mapping
k-means object clustering
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k-means object clustering
This is a 2D object clustering with k-means algorithm.
