WiLi - Vehicular Wireless Channel Dataset enriched with LiDAR and Radar Data

Benjamin Rainer; Stefan Zelenbaba; Anja Dakic; Markus Hofer; David Löschenbrand; Thomas Zemen; Xiaochun Ye; Guo Nan; Stefan Teschl; Peter Priller

WiLi - Vehicular Wireless Channel Dataset enriched with LiDAR and Radar Data

Benjamin Rainer
, Stefan Zelenbaba
, Anja Dakic
, Markus Hofer
, David Löschenbrand
, Thomas Zemen
, Xiaochun Ye
, Guo Nan
, Stefan Teschl
, Peter Priller

Publikation: Beitrag in Buch oder Tagungsband › Vortrag mit Beitrag in Tagungsband › Begutachtung

Abstract

This paper discusses a freely available and
open dataset containing vehicle-to-vehicle (V2V), vehicle-toinfrastructure (V2I) and vehicle-to-pedestrian (V2P) OFDMbased wireless channel measurement data including synchronised sensor data such as radar, LiDAR and high precision GPS. The wireless channel measurement is conducted at the carrier
frequencies of 3.2 GHz and 5.81 GHz which are the most promising frequency bands in which future V2X communication systems will operate. The dataset contains the wireless channel
measurement data of various V2X scenarios along with synchronized sensor information from a vehicle. In addition to the wireless channel measurement data, the dataset also includes frame error rate measurements from a IEEE 802.11p based communication system, synchronized to the other measurement
data.

Originalsprache	Englisch
Titel	2022 IEEE Global Communications Conference: Wireless Communications
Seitenumfang	6
Publikationsstatus	Veröffentlicht - Dez. 2022
Veranstaltung	IEEE Global Communications Conference 2022 - Dauer: 4 Dez. 2022 → 8 Dez. 2022

Konferenz

Konferenz	IEEE Global Communications Conference 2022
Zeitraum	4/12/22 → 8/12/22

Research Field

Ehemaliges Research Field - Enabling Digital Technologies

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@inproceedings{2818306fa4a141789950f6cb7149dec9,

title = "WiLi - Vehicular Wireless Channel Dataset enriched with LiDAR and Radar Data",

abstract = "This paper discusses a freely available and open dataset containing vehicle-to-vehicle (V2V), vehicle-toinfrastructure (V2I) and vehicle-to-pedestrian (V2P) OFDMbased wireless channel measurement data including synchronised sensor data such as radar, LiDAR and high precision GPS. The wireless channel measurement is conducted at the carrier frequencies of 3.2 GHz and 5.81 GHz which are the most promising frequency bands in which future V2X communication systems will operate. The dataset contains the wireless channel measurement data of various V2X scenarios along with synchronized sensor information from a vehicle. In addition to the wireless channel measurement data, the dataset also includes frame error rate measurements from a IEEE 802.11p based communication system, synchronized to the other measurement data.",

author = "Benjamin Rainer and Stefan Zelenbaba and Anja Dakic and Markus Hofer and David L{\"o}schenbrand and Thomas Zemen and Xiaochun Ye and Guo Nan and Stefan Teschl and Peter Priller",

year = "2022",

month = dec,

language = "English",

isbn = "978-1-6654-3540-6",

booktitle = "2022 IEEE Global Communications Conference: Wireless Communications",

note = "IEEE Global Communications Conference 2022 ; Conference date: 04-12-2022 Through 08-12-2022",

}

TY - GEN

T1 - WiLi - Vehicular Wireless Channel Dataset enriched with LiDAR and Radar Data

AU - Rainer, Benjamin

AU - Zelenbaba, Stefan

AU - Dakic, Anja

AU - Hofer, Markus

AU - Löschenbrand, David

AU - Zemen, Thomas

AU - Ye, Xiaochun

AU - Nan, Guo

AU - Teschl, Stefan

AU - Priller, Peter

PY - 2022/12

Y1 - 2022/12

N2 - This paper discusses a freely available and open dataset containing vehicle-to-vehicle (V2V), vehicle-toinfrastructure (V2I) and vehicle-to-pedestrian (V2P) OFDMbased wireless channel measurement data including synchronised sensor data such as radar, LiDAR and high precision GPS. The wireless channel measurement is conducted at the carrier frequencies of 3.2 GHz and 5.81 GHz which are the most promising frequency bands in which future V2X communication systems will operate. The dataset contains the wireless channel measurement data of various V2X scenarios along with synchronized sensor information from a vehicle. In addition to the wireless channel measurement data, the dataset also includes frame error rate measurements from a IEEE 802.11p based communication system, synchronized to the other measurement data.

AB - This paper discusses a freely available and open dataset containing vehicle-to-vehicle (V2V), vehicle-toinfrastructure (V2I) and vehicle-to-pedestrian (V2P) OFDMbased wireless channel measurement data including synchronised sensor data such as radar, LiDAR and high precision GPS. The wireless channel measurement is conducted at the carrier frequencies of 3.2 GHz and 5.81 GHz which are the most promising frequency bands in which future V2X communication systems will operate. The dataset contains the wireless channel measurement data of various V2X scenarios along with synchronized sensor information from a vehicle. In addition to the wireless channel measurement data, the dataset also includes frame error rate measurements from a IEEE 802.11p based communication system, synchronized to the other measurement data.

M3 - Conference Proceedings with Oral Presentation

SN - 978-1-6654-3540-6

BT - 2022 IEEE Global Communications Conference: Wireless Communications

T2 - IEEE Global Communications Conference 2022

Y2 - 4 December 2022 through 8 December 2022

ER -

WiLi - Vehicular Wireless Channel Dataset enriched with LiDAR and Radar Data

Abstract

Konferenz

Research Field

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