tinyml-uwb-radar-based-multi-target-detection

https://github.com/luisgonzaleznf/tinyml-uwb-radar-based-multi-target-detection

Science Score: 44.0%

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CITATION.cff file
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Low similarity (5.1%) to scientific vocabulary

Last synced: 6 months ago · JSON representation ·

Repository

Basic Info

Host: GitHub
Owner: luisgonzaleznf
Language: Jupyter Notebook
Default Branch: main
Size: 5.77 MB

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Stars: 7
Watchers: 2
Forks: 1
Open Issues: 0
Releases: 0

Created over 3 years ago · Last pushed over 3 years ago

Metadata Files

Readme Citation

README.md

Design of a Tiny Machine Learning system for UWB radar based multi target detection

In this repository you will find the most important notebooks from the Thesis document "Design of a Tiny Machine Learning system for UWB radar based multi target detection", by Luis González Navarro

Chapter 3 includes notebooks regarding person counting with radar classification and regression, as well as 3-class image classification
Chapter 4 includes notebooks with optimizations to the 3-class radar classification architecture, including RAM optimization, dw convolutions and the use of average pooling
Chapter 5 includes notebooks that implement object detection on radar signals with two main approaches: using MSE loss and using a custom loss function

Owner

Login: luisgonzaleznf
Kind: user

Repositories: 1
Profile: https://github.com/luisgonzaleznf

Citation (Citation.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: Gonzalez Navarro
    given-names: Luis
title: "Design of a Tiny Machine Learning system for UWB radar based multi target detection"
date-released: 2022-09-26

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