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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Data: UTrack3D: 3D Tracking Using Ultra-wideband (UWB) Radios

Authors: Cao, Yifeng; Dhekne, Ashutosh;

Data: UTrack3D: 3D Tracking Using Ultra-wideband (UWB) Radios

Abstract

"# UTrack3D" Environments: Python3.7 & Matlab2021 System: Windows 11 Install prerequisites Python: We test our code using Python3.7. Advanced Python versions work as well. https://www.python.org/downloads/ Matlab: We test our code using Matlab2021. Advanced Matlab versions work as well. The matlab is only used for performance evaluation in this code. In case you prefer not installing Matlab, several pre-generated examples are provided. Python libraries: pip install -r requirements.txt Running Run script run_offline_analysis.py for tracking. python run_offline_track.py This reads pre-stored CIR data (./raw_data) and generates a file tracking_results.mat in ./output which stores the estimated trajectory and ground-truth trajectory. We provide three examples (test1, test2, test3). One can modify the following line to test a specific example. file_dir = "./raw_data/test1/" Run script ./matlab_analysis_scripts/evaluate_accuracy_ae.m to compute error and perform visualization. This script takes tracking_results.mat as inputs and generates CDF error plot and trajectory visualization in the current folder. The CDF error plot and trajectories of three examples have already been pre-generated and put in ./matlab_analysis_scripts/.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average