PythonRobotics
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
SLAM
Path Planning
Path Tracking
Arm Navigation
Aerial Navigation
Bipedal
Control
Utilities
Appendix
How To Contribute
PythonRobotics
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Mapping
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k-means object clustering
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k-means object clustering
This is a 2D object clustering with k-means algorithm.