ISPRS-Annals ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Annals ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9050 Copernicus Publications Göttingen, Germany 10.5194/isprs-annals-X-G-2025-631-2025 UWB/Wi-Fi RTT Integration for Personal Mobility Applications of CP User Groups Perakis Harris 1 Retscher Guenther https://orcid.org/0000-0001-6019-1548 2 Gikas Vassilis 1 School of Rural, Surveying and Geoinformatics Engineering, National Technical University of Athens, Greece Department of Geodesy and Geoinformation, TU Wien - Vienna University of Technology, Vienna, Austria 11 07 2025 X-G-2025 631 640 Copyright: © 2025 Harris Perakis et al. 2025 This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ This article is available from https://isprs-annals.copernicus.org/articles/X-G-2025/631/2025/isprs-annals-X-G-2025-631-2025.html The full text article is available as a PDF file from https://isprs-annals.copernicus.org/articles/X-G-2025/631/2025/isprs-annals-X-G-2025-631-2025.pdf

Modern mobile devices offer advanced capabilities for navigation and Location-Based Services (LBS). This study investigates the use of Ultra-Wideband (UWB) and Wi-Fi Round-Trip Time (RTT) measurements for pedestrian localization across various scenarios. We analyze the ranging accuracy of these techniques and evaluate positioning performance using different fusion algorithms. Our proposed collaborative positioning (CP) methodology enhances localization accuracy for user groups within a defined area. Results demonstrate significant improvements in position trueness, with UWB and Wi-Fi RTT achieving enhancements of 74% and 54%, respectively. Additionally, our localization algorithm, leveraging a Peer-to-Infrastructure (P2I) and Peer-to-Peer (P2P) hybrid configuration, increases anchor availability by up to 10%. Even in short-duration anchor loss scenarios (P2P-only), position trueness improves by up to 53%. These findings highlight the potential of UWB and Wi-Fi RTT in real-world pedestrian localization, particularly for urban navigation, smart mobility applications, and emergency response systems.