2026-05-28T19:49:09Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/392382026-02-03T11:30:38Zcom_10630_2254col_10630_37953

00925njm 22002777a 4500 dc Bravo-Arrabal, Juan author Álvarez-Merino, Carlos Simón author Toscano-Moreno, Manuel author Serón-Barba, Javier author Fernández-Lozano, Juan Jesús author Gómez-Ruiz, José Antonio author Khatib, Emil Jatib author Barco-Moreno, Raquel author García-Cerezo, Alfonso José author 2025-05-14 Accurate victim localization in Remote, Outdoor, Unstructured, and Disaster (ROUD) scenarios remains a significant challenge due to limited infrastructure, complex terrains, and time constraints inherent in Search and Rescue (SAR) operations. This article introduces an innovative real-time positioning system that leverages Fine Time Measurement (FTM), a feature of the IEEE 802.11mc amendment, to detect WiFi-enabled devices typically carried by potential victims. The system integrates a Hybrid Wireless Sensor Network (H-WSN) composed of static and mobile anchors mounted on Uncrewed Ground and Aerial Vehicles (UGVs and UAVs), within a Robot Operating System (ROS)-based architecture. A centralized Feedback Information System (FIS) processes real-time RTT data from the field, executes a multilateration algorithm, and provides live geolocation updates to SAR coordinators. The system was validated during a large-scale SAR drill, successfully locating two types of victims—a semi-hidden surface victim and a buried victim—within a 2000m2 area in under 7 minutes, without any filtering or post-processing. The maximum positioning error was 22.87m for the buried victim and 17.14m for the surface one. The complete system, including source code, dataset, and a containerized environment, is openly available to support reproducibility and further research, highlighting the potential of robotic and wireless technologies to enhance disaster response through accurate, real-time localization in complex environments. Bravo-Arrabal, J., Álvarez-Merino, C. S., Toscano-Moreno, M., Serón-Barba, J., Fernandez-Lozano, J. J., Gómez-Ruiz, J. A., ... & Garcia-Cerezo, A. (2025). Real-Time FTM-based Victim Positioning System Using Heterogeneous Robots in Remote and Outdoor Scenarios. IEEE Access. https://hdl.handle.net/10630/39238 10.1109/ACCESS.2025.3570203 Robótica Robots autónomos Operaciones de búsqueda y rescate Redes de sensores inalámbricas Vehículos teledirigidos Informática en la nube Real-Time FTM-based Victim Positioning System Using Heterogeneous Robots in Remote and Outdoor Scenarios.