UWBCarGraz Dataset

Jakob Möderl; Stefan Posch; Franz Pernkopf; Klaus Witrisal

doi:https://doi.org/10.3217/2gx2m-pt043

UWBCarGraz Dataset

Jakob Möderl, Stefan Posch, Franz Pernkopf, Klaus Witrisal

Publikation: Nonprint-Formen › Datensätze / Datenbank

Abstract

Dataset for car occupancy detection using ultra-wideband radar.

The dataset contains radar channel impulse responses (CIRs) in the frequency band from 4.5GHz to 9.5GHz sampled every 0.1s.
The CIRs were obtained with participants inside a car performing three different activities (i) breathing, (ii) talking and (iii) moving.

The matlab files are named as "UWBCarGraz_<fc>_<bw>_<activity>.mat" were fc is the center frequency and bw the bandwidth of the used pulse and activity the activity the participants performed inside the car. Each .mat file contains a NxMxP matrix of CIRs where the first dimension corresponds to fast time, the second dimension corresponds to slow time and the last dimension corresponds to different samples in the dataset.

For more information about the data see the PDF document contained in the dataset as well as the releated works.

Originalsprache	englisch
Herausgeber (Verlag)	Technische Universität Graz
Medium	Online
DOIs	https://doi.org/10.3217/2gx2m-pt043
Publikationsstatus	Veröffentlicht - 20 Nov. 2023

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https://doi.org/10.3217/2gx2m-pt043Lizenz: CC BY-NC 4.0

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1 Laufend

CD-Labor für Ortssensitive Elektronische Systeme
Witrisal, K., Grebien, S. J., Fuchs, A., Wilding, T., Venus, A. & Wielandner, L.
1/01/18 → 31/12/25
Projekt: Forschungsprojekt
SEAMAL Front - Sicher angewandtes maschinelles Lernen
Witrisal, K., Bischof, H., Schreiber, H. & Freiberger, G.
1/10/20 → 30/09/23
Projekt: Forschungsprojekt

1 Vortrag bei Konferenz oder Fachtagung

UWBCarGraz Dataset for Car Occupancy Detection using Ultra-Wideband Radar
Jakob Möderl (Redner/in)
9 Mai 2024
Aktivität: Vortrag oder Präsentation › Vortrag bei Konferenz oder Fachtagung › Science to science

1 Beitrag in einem Konferenzband

UWBCarGraz Dataset for Car Occupancy Detection using Ultra-Wideband Radar
Möderl, J., Posch, S., Pernkopf, F. & Witrisal, K., 13 Juni 2024, 2024 IEEE Radar Conference (RadarConf24). 6 S.
Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

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title = "UWBCarGraz Dataset",

abstract = "Dataset for car occupancy detection using ultra-wideband radar.The dataset contains radar channel impulse responses (CIRs) in the frequency band from 4.5GHz to 9.5GHz sampled every 0.1s.The CIRs were obtained with participants inside a car performing three different activities (i) breathing, (ii) talking and (iii) moving.The matlab files are named as {"}UWBCarGraz___.mat{"} were fc is the center frequency and bw the bandwidth of the used pulse and activity the activity the participants performed inside the car. Each .mat file contains a NxMxP matrix of CIRs where the first dimension corresponds to fast time, the second dimension corresponds to slow time and the last dimension corresponds to different samples in the dataset.For more information about the data see the PDF document contained in the dataset as well as the releated works.",

author = "Jakob M{\"o}derl and Stefan Posch and Franz Pernkopf and Klaus Witrisal",

year = "2023",

month = nov,

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doi = "https://doi.org/10.3217/2gx2m-pt043",

language = "English",

publisher = "Technische Universit{\"a}t Graz",

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T1 - UWBCarGraz Dataset

AU - Möderl, Jakob

AU - Posch, Stefan

AU - Pernkopf, Franz

AU - Witrisal, Klaus

PY - 2023/11/20

Y1 - 2023/11/20

N2 - Dataset for car occupancy detection using ultra-wideband radar.The dataset contains radar channel impulse responses (CIRs) in the frequency band from 4.5GHz to 9.5GHz sampled every 0.1s.The CIRs were obtained with participants inside a car performing three different activities (i) breathing, (ii) talking and (iii) moving.The matlab files are named as "UWBCarGraz___.mat" were fc is the center frequency and bw the bandwidth of the used pulse and activity the activity the participants performed inside the car. Each .mat file contains a NxMxP matrix of CIRs where the first dimension corresponds to fast time, the second dimension corresponds to slow time and the last dimension corresponds to different samples in the dataset.For more information about the data see the PDF document contained in the dataset as well as the releated works.

AB - Dataset for car occupancy detection using ultra-wideband radar.The dataset contains radar channel impulse responses (CIRs) in the frequency band from 4.5GHz to 9.5GHz sampled every 0.1s.The CIRs were obtained with participants inside a car performing three different activities (i) breathing, (ii) talking and (iii) moving.The matlab files are named as "UWBCarGraz___.mat" were fc is the center frequency and bw the bandwidth of the used pulse and activity the activity the participants performed inside the car. Each .mat file contains a NxMxP matrix of CIRs where the first dimension corresponds to fast time, the second dimension corresponds to slow time and the last dimension corresponds to different samples in the dataset.For more information about the data see the PDF document contained in the dataset as well as the releated works.

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DO - https://doi.org/10.3217/2gx2m-pt043

M3 - Data set/Database

PB - Technische Universität Graz

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UWBCarGraz Dataset

Abstract

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Projekte

CD-Labor für Ortssensitive Elektronische Systeme

SEAMAL Front - Sicher angewandtes maschinelles Lernen

Aktivitäten

UWBCarGraz Dataset for Car Occupancy Detection using Ultra-Wideband Radar

Publikationen

UWBCarGraz Dataset for Car Occupancy Detection using Ultra-Wideband Radar

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