Dataset Open Access

UWB-IODA project: Datasets associated to WP3

Khan, Faheem; Radoi, Emanuel

GeoJSON Export

{
  "type": "FeatureCollection", 
  "features": []
}
69
22
views
downloads
All versions This version
Views 6914
Downloads 222
Data volume 904.8 MB43.6 MB
Unique views 5313
Unique downloads 61
More info on how stats are collected.
Indexed in
Publication date:
March 13, 2022
DOI:
10.5281/zenodo.7426248

Zenodo DOI Badge

DOI 

10.5281/zenodo.7426248

Markdown 

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.7426248.svg)](https://doi.org/10.5281/zenodo.7426248)

reStructedText 

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.7426248.svg
   :target: https://doi.org/10.5281/zenodo.7426248

HTML 

<a href="https://doi.org/10.5281/zenodo.7426248"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.7426248.svg" alt="DOI"></a>

Image URL 

https://zenodo.org/badge/DOI/10.5281/zenodo.7426248.svg

Target URL 

https://doi.org/10.5281/zenodo.7426248

Keyword(s):
impulse radio ultrawideband, human detection and localization, smart factory, multi-path, mono-static radar array, smart sensing, collision avoidance
Published in:
IEEE Transactions on Instrumentation and Measurement: 71 pp. 1-13.
Grants:
European Commission:
  • UWB-IODA SF-PC - Ultra Wide Band Integrated Optical-and-Digital Approach for Smart Factory and Perceptive Car (838037)
License (for files):
Creative Commons Attribution 4.0 International

Versions

Version v1.0 10.5281/zenodo.7426248 Mar 13, 2022
Version v1.0 10.5281/zenodo.6350259 Mar 13, 2022
Cite all versions? You can cite all versions by using the DOI 10.5281/zenodo.6350258. This DOI represents all versions, and will always resolve to the latest one. Read more.

Share

Cite as

Export