https://github.com/goseind/kalman-filter-dbscan

Kalman filter implementation with with DBSCAN clustering on 3d radar sensor
https://github.com/goseind/kalman-filter-dbscan

dbscan kalman-filter machine-learning python

Last synced: 2 months ago
JSON representation

Kalman filter implementation with with DBSCAN clustering on 3d radar sensor

• Host: GitHub
• URL: https://github.com/goseind/kalman-filter-dbscan
• Owner: goseind
• Created: 2021-10-15T07:21:22.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2023-11-05T18:45:39.000Z (over 2 years ago)
• Last Synced: 2025-06-03T03:15:45.083Z (about 1 year ago)
• Topics: dbscan, kalman-filter, machine-learning, python
• Language: Jupyter Notebook
• Homepage:
• Size: 30.3 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 5
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# Kalman filter implementation with with DBSCAN clustering on 3d radar sensor

This repository demonstrates a sophisticated implementation of object tracking using a 3D radar sensor. By integrating a Kalman filter and DBSCAN clustering, this code provides a comprehensive solution for accurate and robust detection and tracking of objects in three-dimensional space.

![](/code/figs/QMatrix-05-fig1.png)

## Python algorithm implementations

* [Kalman Filter 1D](/code/KalmanFilter.py)

* [DBSCAN 3D](/code/DBScan.py)

## Jupyter Notebook documentation

*docs are in german*

* [Interactive Jupyter Notebook](/code/PML-Bericht.ipynb)

* [Interactive Presentation](/code/PML-Praesentation.ipynb)