@inproceedings{c2bdd071ca014243b3b060b331b5714e,
title = "Data Generation and Analysis of USRP and OptiTrack for the Moving UGV Localization",
abstract = "This paper presents a comprehensive methodology for generating a dataset for localization experiments in a controlled environment. We utilized a Universal Software Radio Peripheral (USRP) with LabVIEW for signal transmission and an Unmanned Ground Vehicle(UGV) equipped with a receiving antenna and OptiTrack cameras to establish ground truth in a 3×3-meter grid divided into 9 blocks. The experimental setup involved a moving UGV with a receiving antenna, a stationary transmitting antenna at the grid's edge, and OptiTrack cameras for precise ground truth measurements.",
author = "Jaspreeet Kaur and Wanquan Zhang and Mahmoud Shawky and Popoola, \{Olaoluwa R.\} and Imran, \{Muhammed A.\} and Abbasi, \{Qammer H.\} and Abbas, \{Hasan T.\}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 ; Conference date: 14-07-2024 Through 19-07-2024",
year = "2024",
doi = "10.1109/AP-S/INC-USNC-URSI52054.2024.10687220",
language = "English",
series = "IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1639--1640",
booktitle = "2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 - Proceedings",
address = "United States",
}