# adaptive_clustering

**Repository Path**: xielinjiangs/adaptive_clustering

## Basic Information

- **Project Name**: adaptive_clustering
- **Description**: A lightweight and accurate point cloud clustering method
- **Primary Language**: C++
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-11-05
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Adaptive Clustering #

[![Build Status](https://travis-ci.org/yzrobot/adaptive_clustering.svg?branch=master)](https://travis-ci.org/yzrobot/adaptive_clustering)
[![Codacy Badge](https://api.codacy.com/project/badge/Grade/61a01a79a7ac41fd9deded9050ef6030)](https://www.codacy.com/app/yzrobot/adaptive_clustering?utm_source=github.com&utm_medium=referral&utm_content=yzrobot/adaptive_clustering&utm_campaign=Badge_Grade)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

A lightweight and accurate point cloud clustering method.

[![YouTube Video](https://img.youtube.com/vi/rmPn7mWssto/0.jpg)](https://www.youtube.com/watch?v=rmPn7mWssto)

## How to build ##
```
$ cd ~/catkin_ws/src/
$ git clone https://github.com/yzrobot/adaptive_clustering.git
$ cd ~/catkin_ws
$ catkin_make
```

## Citation ##
If you are considering using this code, please reference the following:
```
@inproceedings{yz17iros,
   author = {Zhi Yan and Tom Duckett and Nicola Bellotto},
   title = {Online learning for human classification in {3D LiDAR-based} tracking},
   booktitle = {In Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
   pages = {864--871},
   address = {Vancouver, Canada},
   month = {September},
   year = {2017}
}
```