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

Research output: Chapter in Book or Conference ProceedingsConference Proceedings with Oral Presentationpeer-review


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
Original languageEnglish
Title of host publication2022 IEEE Global Communications Conference: Wireless Communications
Number of pages6
Publication statusPublished - Dec 2022
EventIEEE Global Communications Conference 2022 -
Duration: 4 Dec 20228 Dec 2022


ConferenceIEEE Global Communications Conference 2022

Research Field

  • Enabling Digital Technologies


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